default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID19th ISBI 2022: Kolkata, India
- 19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022. IEEE 2022, ISBN 978-1-6654-2923-8
- Robail Yasrab
, Zeyu Fu, Lior Drukker, Lok Hin Lee, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation. 1-5 - Lixin Gong, Pinghong Zhou, Di Dong, Hao Hu, Jie Tian:
Low-Shot Early Gastric Cancer Diagnostic Model Driven By Unsupervised Features. 1-5 - Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo:
Duplex Contextual Relation Network For Polyp Segmentation. 1-5 - Ranjana Roy Chowdhury, Deepti R. Bathula:
Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study. 1-4 - Jun Luo, Shandong Wu:
Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification. 1-5 - Weixin Xu, Yun Xing, Yuting Lu, Jingkai Lin, Xiaohong Zhang:
Dual Encoding Fusion for Atypical Lung Nodule Segmentation. 1-5 - Harshit Sharma, Rajendra Nagar, Deepak Mishra:
Data Driven Estimation of Covid-19 Prognosis. 1-5 - Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price:
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma. 1-4 - Chaithya G. R., Zaccharie Ramzi, Philippe Ciuciu:
Hybrid Learning of Non-Cartesian K-Space Trajectory and Mr Image Reconstruction Networks. 1-5 - Yinghao Zhang, Yue Hu:
Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations. 1-4 - Najib Ishaq, Nathan Hotaling, Nicholas Schaub:
Theia: Bleed-Through Estimation with Interaction Terms and Convolutional Kernels. 1-4 - Zeeshan Nisar, Jelica Vasiljevic, Pierre Gançarski, Thomas Andrew Lampert:
Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. 1-5 - Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney:
Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning. 1-4 - Faranak Sobhani, Azam Hamidinekoo, Allison H. Hall, Lorraine M. King, Jeffrey R. Marks, Carlo C. Maley, Hugo M. Horlings, Eun-Sil Shelley Hwang, Yinyin Yuan:
Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks. 1-5 - Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. 1-5 - Yueyun Liu, Yu Wang, Yuping Duan:
Effective 3d Boundary Learning via a Nonlocal Deformable Network. 1-5 - Xianyu Wang, Shuai Liu, Ne Yang, Guochen Ning, Longfei Ma, Hui Zhang, Hongen Liao:
A Less Supervised Automatic Delineation Method For Intracranial Germ Cell Tumor Radiotherapy Targets. 1-4 - Quan-Dung Pham, Hai Nguyen-Truong, Nam Nguyen Phuong, N. A. Khoa Nguyen, Chanh D. T. Nguyen, Trung H. Bui, Steven Q. H. Truong:
Segtransvae: Hybrid Cnn - Transformer with Regularization for Medical Image Segmentation. 1-5 - Shuo Yan, Zheng Zhang, Bo Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Xirong Que, Wendong Wang:
MPTGAN: A Multimodal Prior-Based Triple-Branch Network for Fast Prostate Mri Reconstruction. 1-5 - Debbrata K. Saha, Rogers F. Silva, Bradley T. Baker, Vince D. Calhoun:
Decentralized Spatially Constrained Source-Based Morphometry. 1-5 - Weixiang Chen, Jianjiang Feng, Jie Zhou:
TriageNet: A Multi-Agent Diagnosis Network for Imbalanced Data. 1-5 - Rafsanjany Kushol, Abbas Masoumzadeh, Dong Huo, Sanjay Kalra, Yee-Hong Yang:
Addformer: Alzheimer's Disease Detection from Structural Mri Using Fusion Transformer. 1-5 - Matthis Maillard, François Anton, Joan Glaunès, Isabelle Bloch, Pietro Gori:
A Deep Residual Learning Implementation of Metamorphosis. 1-4 - Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. 1-5 - Meng Wang, Lingzhong Fan, Bing Liu:
Structural Brain Atrophy Predict Symptom Severity in Schizophrenia Based on Generalized Additive Models. 1-5 - Youssef Beauferris, Mike Lasby, Roberto Souza:
Leveraging Multi-Visit Information for Magnetic Resonance Image Reconstruction: Pilot Study on a Cohort of Glioblastoma Subjects. 1-5 - Hoang Nguyen Ngoc, Vu Hoang, Trung H. Bui, Steven Q. H. Truong, Thanh Huynh Minh, Duong Nguyen Van, Trang Nguyen Thi Minh, Cong Cung Van:
An Efficient Approach for Tuberculosis Diagnosis on Chest X-Ray. 1-5 - Ashkan Faghiri, Tülay Adali, Vince D. Calhoun:
Single Sideband Modulation as a Tool To Improve Functional Connectivity Estimation. 1-4 - Hanyue Zhou, Jiayu Xiao, Debiao Li, Zhaoyang Fan, Dan Ruan:
Intracranial Vessel Wall Segmentation with Deep Learning Using a Novel Tiered Loss Function to Incorporate Class Inclusion. 1-4 - Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Topology-Aware Learning for Volumetric Cerebrovascular Segmentation. 1-4 - Yunan Wu, Pierre Besson, Emanuel A. Azcona, S. Kathleen Bandt, Todd B. Parrish, Aggelos K. Katsaggelos:
Reconstruction of Resting State FMRI Using LSTM Variational Auto-Encoder on Subcortical Surface to Detect Epilepsy. 1-5 - Yuling Sang, Marcel Beetz, Vicente Grau:
Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder. 1-5 - Yash-Yee Logan, Kiran Kokilepersaud, Gukyeong Kwon, Ghassan AlRegib, Charles C. Wykoff, Hannah Yu:
Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification. 1-5 - Gasper Podobnik, Bulat Ibragimov, Primoz Strojan, Primoz Peterlin, Tomaz Vrtovec:
Segmentation of Organs-At-Risk from Ct and Mr Images of the Head and Neck: Baseline Results. 1-4 - Xuan Li, Christian Desrosiers, Xue Liu:
Symmetric Contrastive Loss for Out-of-Distribution Skin Lesion Detection. 1-5 - Yuxuan Mu, He Zhao, Jia Guo, Huiqi Li:
MSRT: Multi-Scale Spatial Regularization Transformer For Multi-Label Classification in Calcaneus Radiograph. 1-4 - David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. 1-5 - Ziang Xu, Sharib Ali, James E. East, Jens Rittscher:
Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring. 1-5 - Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning:
EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer. 1-5 - Kailai Zhang, Nanfang Xu, Ji Wu:
Multi-View Fusion Convolutional Neural Network for Automatic Landmark Location on Spinal X-Rays. 1-4 - Qing Zou, Luis A. Torres, Sean B. Fain, Mathews Jacob:
Dynamic Imaging Using Motion-Compensated Smoothness Regularization on Manifolds (MOCO-STORM). 1-4 - Li Zhang, Gan Huang, Zhen Liang, Linling Li, Zhiguo Zhang:
A Novel Method to Preserve Scale-Free Property for the Inference of Dynamic Effective Connectivity Networks From fMRI. 1-5 - Anita Sinha, Ronak Mehta, Veena A. Nair, Rasmus M. Birn, Vikas Singh, Vivek Prabhakaran:
Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics. 1-4 - Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data. 1-4 - Defu Yang, Wenchao Li, Jingwen Zhang, Hui Shen, Minghan Chen, Wentao Zhu, Guorong Wu:
A Neuropathological Hub Identification for Alzheimer's Disease Via joint Analysis of Topological Structure and Neuropathological Burden. 1-4 - Leon Weninger, Mushawar Ahmad, Dorit Merhof:
From Supervised to Unsupervised Harmonization of Diffusion Mri Acquisitions. 1-5 - Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu:
Universal Generative Modeling for Calibration-Free Parallel Mr Imaging. 1-5 - Ataher Sams, Homaira Huda Shomee:
GAN-Based Realistic Gastrointestinal Polyp Image Synthesis. 1-4 - Federico Pollastri, Marco Cipriano, Federico Bolelli, Costantino Grana:
Long-Range 3D Self-Attention for MRI Prostate Segmentation. 1-5 - Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen:
Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer's Disease Diagnosis. 1-5 - Mancheng Meng, Mianxin Liu, Xianjie Zhang, Yuxuan Liu, Xiran Cai, Yaozong Gao, Xiang Zhou, Dinggang Shen:
LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information. 1-5 - Priscille de Dumast, Hamza Kebiri, Kelly Payette, András Jakab, Hélène Lajous, Meritxell Bach Cuadra:
Synthetic Magnetic Resonance Images for Domain Adaptation: Application to Fetal Brain Tissue Segmentation. 1-5 - Élise Laruelle, Auguste Genovesio:
Non-Convex Cell Epithelial Modeling Unveils Cellular Interactions. 1-5 - Yiwen Li, Yunguan Fu, Qianye Yang, Zhe Min, Wen Yan, Henkjan J. Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu:
FEW-SHOT Image Segmentation for Cross-Institution Male Pelvic Organs Using Registration-Assisted Prototypical Learning. 1-5 - Ella Lan:
A Novel Deep Learning Architecture By Integrating Visual Simultaneous Localization And Mapping (Vslam) Into Cnn For Real-Time Surgical Video Analysis. 1-5 - Yangrun Hu, Yuanfan Guo, Fan Zhang, Mingda Wang, Tiancheng Lin, Rong Wu, Yi Xu:
Enhancing Non-Mass Breast Ultrasound Cancer Classification with Knowledge Transfer. 1-5 - Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He:
Structure-Preserving Graph Kernel for Brain Network Classification. 1-5 - Pham Ngoc Huy, Tran Minh Quan:
Neural Radiance Projection. 1-5 - Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. 1-5 - Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Lingzi Hong, Jason Truong, Li Cheng:
EDDIE-Transformer: Enriched Disease Embedding Transformer for X-Ray Report Generation. 1-5 - Xinyun Qiu, Haijun Lei, Hai Xie, Baiying Lei:
Segmentation of Multiple Myeloma Cells Using Feature Selection Pyramid Network and Semantic Cascade Mask RCNN. 1-4 - Saarthak Kapse, Luke Torre-Healy, Richard A. Moffitt, Rajarsi Gupta, Prateek Prasanna:
Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma. 1-5 - Suhita Ghosh, Philipp Ernst, Georg Rose, Andreas Nürnberger, Sebastian Stober:
Towards Patient Specific Reconstruction Using Perception-Aware CNN and Planning CT as Prior. 1-5 - Young-tack Oh, Eunsook Ko, Hyunjin Park:
TDM-Stargan: Stargan Using Time Difference Map to Generate Dynamic Contrast-Enhanced Mri from Ultrafast Dynamic Contrast-Enhanced Mri. 1-5 - Mo Zhang, Bin Dong, Quanzheng Li:
Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis. 1-5 - Martin Hanik, Hans-Christian Hege, Christoph von Tycowicz:
A Nonlinear Hierarchical Model for Longitudinal Data on Manifolds. 1-5 - Reihaneh Hassanzadeh, Vince D. Calhoun:
A Contrastive Learning-Based Approach To Measure Spatial Coupling Among Brain Networks: A Schizophrenia Study. 1-4 - Wenao Ma, Shuang Zheng, Lei Zhang, Huimao Zhang, Qi Dou:
Rapid Model Transfer for Medical Image Segmentation Via Iterative Human-in-the-Loop Update: from Labelled Public to Unlabelled Clinical Datasets for Multi-Organ Segmentation in CT. 1-5 - Wei Xiong, Kaiwei Yu, Yuming Cai, Liang Yang, Baiying Lei:
Coordinate Transformer Network for Prediction of Pseudomonas Aeruginosa's Drug Resistance. 1-4 - Mohamed Fakhfakh, Bassem Bouaziz, Faïez Gargouri, Lotfi Chaâri:
Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks. 1-4 - Michele Ambrosanio, Maria Maddalena Autorino, Stefano Franceschini, Fabio Baselice, Vito Pascazio:
Microwave Breast Imaging Via Deep Learning. 1-4 - Xavier Rolland, Pierre Maurel, Camille Maumet:
Towards Efficient FMRI Data Re-Use: Can We Run Between-Group Analyses with Datasets Processed Differently with SPM? 1-4 - Renuka Sharma, Suyash P. Awate:
Robust and Uncertainty-Aware VAE (RU-VAE) for One-Class Classification. 1-5 - Yaniv Ziselman, Faten Hajali Shinnawi, Mary-Louise C. Greer, Gili Focht, Dan Turner, Moti Freiman:
Gadolinium-Free Crohn's Disease Assessment from Magnetic Resonance Enterography Data. 1-5 - Yue Zhang, Zifan Chen, Hao Yu, Xinyu Yao, Hongfeng Li:
Feature Fusion for Segmentation and Classification of Skin Lesions. 1-5 - Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Deep Unrolling for Magnetic Resonance Fingerprinting. 1-4 - Bo Wang, Lijun Lu, Huafeng Liu:
Invertible AC-flow: Direct Attenuation Correction Of Pet Images Without Ct Or Mr Images. 1-4 - Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong:
Advanced Deep Networks for 3d Mitochondria Instance Segmentation. 1-5 - Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv:
Shape-Consistent Generative Adversarial Networks for Multi-Modal Medical Segmentation Maps. 1-5 - Joschka Braun, Micha Kornreich, JinHyeong Park, Jayashri Pawar, James Browning, Richard Herzog, Benjamin Odry, Li Zhang:
Influence Based Re-Weighing for Labeling Noise in Medical Imaging. 1-5 - Pisharody Harikrishnan Gopalakrishnan, Mahesh Raveendranatha Panicker:
Extending the Capability of Linear Array Ultrasound Probe to Concave Array Using Low-Cost Acoustic Lens for High Frame Rate Focused Imaging. 1-4 - Guanqi Chen, Guanbin Li:
Semantic-Aware Temporal Channel-Wise Attention for Cardiac Function Assessment. 1-4 - Irene Canavesi, Eleonora D'Arnese, Sara Caramaschi, Marco D. Santambrogio:
Lung Cancer Identification via Deep Learning: A Multi-Stage Workflow. 1-5 - Chi Liu, Zongyuan Ge, Mingguang He, Xiaotong Han:
A Label Uncertainty-Guided Multi-Stream Model for Disease Screening. 1-5 - Rajitha KV, Sowmya Bhat, Prakash PY, Raghavendra Rao, Keerthana Prasad:
Classification of Microscopic Images of Unstained Skin Samples Using Deep Learning Approach. 1-4 - Chi Zhang, Davide Piccini, Ömer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akçakaya:
Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. 1-5 - Tingting Dan, Zhuobin Huang, Hongmin Cai, Guorong Wu:
Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition. 1-4 - Shira Kasten Serlin, Jacob Goldberger, Hayit Greenspan:
Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity. 1-5 - Priyanka Rana, Arcot Sowmya, Erik Meijering, Yang Song:
Imbalanced Cell-Cycle Classification Using Wgan-Div and Mixup. 1-4 - Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. 1-5 - Muhammad F. A. Chaudhary, Sarah E. Gerard, Di Wang, Gary E. Christensen, Christopher B. Cooper, Joyce D. Schroeder, Eric A. Hoffman, Joseph M. Reinhardt:
Single Volume Lung Biomechanics from Chest Computed Tomography Using a Mode Preserving Generative Adversarial Network. 1-5 - Mengfan Wang, Kathleen Whiting, Fritz W. Lischka, Zygmunt Galdzicki, Guoqiang Yu:
An Unsupervised Approach to Detect Microglia Tip in Volumetric Fluorescence Imaging Data. 1-5 - Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo Dickscheid:
GORDA: Graph-Based Orientation Distribution Analysis of SLI Scatterometry Patterns of Nerve Fibres. 1-5 - Hari Shankar, Adithya Narayan, Shefali Jain, Divya Singh, P. Vyas, Nivedita Hegde, J. P. Kar, Abhi Lad, Jens Thang, Jagruthi Atada, D. Nguyen, Roopa PS, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla:
Leveraging Clinically Relevant Biometric Constraints to Supervise a Deep Learning Model for the Accurate Caliper Placement to Obtain Sonographic Measurements of the Fetal Brain. 1-5 - Rahil Gholamipoor, Nima Rafiee, Markus Kollmann:
Pneumonia Detection With Semantic Similarity Scores. 1-5 - Alexandre Bouyssoux, Riadh Fezzani, Jean-Christophe Olivo-Marin:
Cell Instance Segmentation Using Z-Stacks in Digital Cytology. 1-4 - Tianhong Quan, Ye Yuan, Youyi Song, Teng Zhou, Jing Qin:
Fuzzy Structural Broad Learning for Breast Cancer Classification. 1-4 - Zihao Chen, Yuhua Chen, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction. 1-5 - Suvadip Mukherjee, Vannary Meas-Yedid, Marc Bokobza, Thibault Lagache, Alexandre Corthay, Jean-Christophe Olivo-Marin:
Spatial Analysis For Histopathology: A Statistical Approach. 1-5 - Guochen Ning, Hanying Liang, Lei Zhou, Xinran Zhang, Hongen Liao:
Spatial Position Estimation Method for 3D Ultrasound Reconstruction Based on Hybrid Transfomers. 1-5 - Kaifeng Pang, Zuhayr Asad, Shilin Zhao, Yuankai Huo:
MAG: A Simple Learning-Based Patient-Level Aggregation Method for Detecting Microsatellite Instability from Whole-Slide Images. 1-4 - Jiayi Zhu, Bart Bolsterlee, Brian V. Y. Chow, Yang Song, Erik Meijering:
Hybrid Attentive Unet for Segmentation of Lower Leg Muscles and Bones From MRI Scans For Musculoskeletal Research. 1-5 - Nilanjan Chattopadhyay, Geetank Raipuria, Nitin Singhal:
Self-Ensemble Distillation Using Mean Teachers with Long & Short Memory. 1-4 - Yu Fu, Yanyan Huang, Meng Niu, Le Xue, Shunjie Dong, Shunlin Guo, Junqiang Lei, Cheng Zhuo:
Active Index: An Integrated Index to Reveal Disrupted Brain Network Organizations of Major Depressive Disorder Patients. 1-5 - Elina Thibeau-Sutre, Baptiste Couvy-Duchesne, Didier Dormont, Olivier Colliot, Ninon Burgos:
MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set. 1-4 - Zhengyang Jiao, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Yan Wang:
Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning. 1-5 - Cheng-Ho King, Yin-Lin Wang, Wei-Yang Lin, Chia-Ling Tsai:
Automatic Cephalometric Landmark Detection on X-Ray Images Using Object Detection. 1-4 - Kerem Celikay, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr:
Denoisereg: Unsupervised Joint Denoising and Registration of Time-Lapse Live Cell Microscopy Images Using Deep Learning. 1-4 - Mohamed El-Sharkawy, Ahmed Sharafeldeen, Ahmed Soliman, Fahmi Khalifa, Mohammed Ghazal, Eman M. El-Daydamony, Ahmed Atwan, Harpal Singh Sandhu, Ayman El-Baz:
Diabetic Retinopathy Diagnostic CAD System Using 3D-Oct Higher Order Spatial Appearance Model. 1-4 - Roman Spilger, Vadim O. Chagin, C. S. Bold, Lothar Schermelleh, U. C. Müller, M. Cristina Cardoso, Karl Rohr:
Deep Neural Network for 3D Particle Detection in 3D Fluorescence Microscopy Images via Density Map Regression. 1-4 - Sébastien Levilly, Saïd Moussaoui, Jean-Michel Serfaty:
Navier-Stokes-Based Regularization for 4d Flow MRI Super-Resolution. 1-5 - Usma Niyaz, Deepti R. Bathula:
Augmenting Knowledge Distillation with Peer-to-Peer Mutual Learning for Model Compression. 1-4 - Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Min Sagong, Sang Hyun Park:
A Meta-Learning Approach for Medical Image Registration. 1-5 - Zexin Lu, Wenjun Xia, Yongqiang Huang, Mingzheng Hou, Hu Chen, Hongming Shan, Yi Zhang:
Low-Dose CT Denoising via Neural Architecture Search. 1-5 - Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal:
Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. 1-5 - Xuan Xu, Prateek Prasanna:
Brain Cancer Survival Prediction on Treatment-Naïve MRI using Deep Anchor Attention Learning with Vision Transformer. 1-5 - Abhishek Sahoo, Emad S. Ebbini:
Band Selective Volterra Filter for Nonlinear Ultrasound Imaging. 1-4 - Pedro L. Esquinas, Yen-Fu Luo, Parisa Farzam, Tyler Baldwin, Moshe Raboh, Thomas Binder, Arkadiusz Sitek, Omid Sakhi, Yi-Qing Wang, Sameer Suman, Giovanni Palma, Paul Dufort, Ben Graf:
Evaluation of an Automated Method to Detect Missed Focal Liver Findings In Single-Phase CT Images of The Abdomen. 1-5 - Sandeep Manandhar, Irina Veith, Maria Carla Parrini, Auguste Genovesio:
SAVGAN: Self-Attention Based Generation of Tumour on Chip Videos. 1-5 - Yunpeng Xiao, Youpeng Zhao, Ge Yang:
Semi-Supervised Segmentation of Mitochondria from Electron Microscopy Images Using Spatial Continuity. 1-5 - Aniket Pramanik, Mathews Jacob:
Improved Model Based Deep Learning Using Monotone Operator Learning (Mol). 1-4 - Manuel Petit, Guillaume Cerutti, Christophe Godin, Grégoire Malandain:
Robust Plant Cell Tracking in Fluorescence Microscopy 3D+T Series. 1-4 - Yuanqi Du, Quan Quan, Hu Han, S. Kevin Zhou:
Semi-Supervised Pseudo-Healthy Image Synthesis via Confidence Augmentation. 1-4 - Sifan Song, Kang Dang, Qinji Yu, Zilong Wang, Frans Coenen, Jionglong Su, Xiaowei Ding:
Bilateral-ViT For Robust Fovea Localization. 1-5 - Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil:
Anomaly Detection via Context and Local Feature Matching. 1-5 - Maria Rita Verdelho, Catarina Barata:
On The Impact of Self-Supervised Learning in Skin Cancer Diagnosis. 1-5 - Ming Zeng, Na Zeng, Jiansheng Fang, Jiang Liu:
Factorized Convolution with Spectral Normalization for Fundus Screening. 1-5 - Yu Ji, Zhenyu Zhu, Ying Wei:
Fusion-Based Multimodal Medical Image Registration Combining Inter-Modality Metric and Disentanglement. 1-5 - Zifan Chen, Jie Zhao, Hao Yu, Yue Zhang, Li Zhang:
Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-Fine Localization and Classification. 1-5 - Wang Bo, Tao Li, Xinhui Liu, Kai Wang:
SAA: Scale-Aware Attention Block For Multi-Lesion Segmentation Of Fundus Images. 1-5 - Hazique Aetesam, Suman Kumar Maji:
Attention-Based Noise Prior Network for Magnetic Resonance Image Denoising. 1-4 - Xinyi Zhou, Louying Hao, Qiushi Nie, Yingquan Zhou, Lihui Wang, Yan Hu, Jiang Liu:
A Novel Multi-Focus Fusion Network for Retinal Microsurgery. 1-5 - Sayed Haggag, Fahmi Khalifa, Hisham Abdeltawab, Ahmed Elnakib, Harpal Sandhu, Mohammed Ghazal, Ashraf Sewelam, Mohamed Azim Mohamed, Ayman El-Baz:
Automated CAD System for Intermediate Uveitis Grading Using Optical Coherence Tomography Images. 1-4 - Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He:
CCAT-NET: A Novel Transformer Based Semi-Supervised Framework For Covid-19 Lung Lesion Segmentation. 1-5 - Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski:
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. 1-5 - Zimeng Tan, Jianjiang Feng, Wangsheng Lu, Yin Yin, Guangming Yang, Jie Zhou:
Cerebrovascular Landmark Detection under Anatomical Variations. 1-5 - Zhuotong Cai, Jingmin Xin, Peiwen Shi, Jiayi Wu, Nanning Zheng:
DSTUNet: UNet with Efficient Dense SWIN Transformer Pathway for Medical Image Segmentation. 1-5 - Sergey Pnev, Vladimir Groza, Bair Tuchinov, Evgeniya Amelina, Evgeniy N. Pavlovskiy, Nikolay Tolstokulakov, Mihail Amelin, Sergey Golushko, Andrey Letyagin:
Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks. 1-5 - Vaanathi Sundaresan, Nicola K. Dinsdale, Mark Jenkinson, Ludovica Griffanti:
Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank. 1-4 - Chenyu Shen, Wenjun Xia, Hongwei Ye, Mingzheng Hou, Hu Chen, Yan Liu, Jiliu Zhou, Yi Zhang:
Unsupervised PET Reconstruction from a Bayesian Perspective. 1-5 - Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. 1-5 - Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan:
View-Disentangled Transformer for Brain Lesion Detection. 1-5 - Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan:
Hierarchical Brain Embedding Using Explainable Graph Learning. 1-5 - Zhiwen Wang, Bowen Li, Wenjun Xia, Chenyu Shen, Mingzheng Hou, Hu Chen, Yan Liu, Jiliu Zhou, Yi Zhang:
Leaders: Learnable Deep Radial Subsampling for Mri Reconstruction. 1-5 - Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin:
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting. 1-5 - Sui Paul Ang, Son Lam Phung, Matthew Field, Mark Matthias Schira:
An Improved Deep Learning Framework for MR-to-CT Image Synthesis with a New Hybrid Objective Function. 1-5 - Ravi Kamble, Aman Srivastava, Nitin Singhal:
LADEN: Lesion-Aware Adversarial Deep Network for Grading of Macular Diseases Using Color Fundus Images. 1-4 - Mingzhu Li, Liangge He, Xinglie Wang, Tianfu Wang, Guanghui Yue, Guangqian Zhou, Baiying Lei:
Faster R-CNN for IPSC-Derived Mesenchymal Stromal Cells Senescent Detection from Bright-Field Microscopy. 1-4 - Chao Li, Yue Cui, Na Luo, Yong Liu, Pierrick Bourgeat, Jurgen Fripp, Tianzi Jiang:
Trans-ResNet: Integrating Transformers and CNNs for Alzheimer's disease classification. 1-5 - Mohamed El Amine Elforaici, Emmanuel Montagnon, Feryel Azzi, Dominique Trudel, Bich Nguyen, Simon Turcotte, An Tang, Samuel Kadoury:
Semi-Supervised Tumor Response Grade Classification from Histology Images of Colorectal Liver Metastases. 1-5 - Xin You, Yun Gu, Yingying Liu, Steve Lu, Xin Tang, Jie Yang:
EG-Trans3DUNet: A Single-Staged Transformer-Based Model for Accurate Vertebrae Segmentation from Spinal Ct Images. 1-5 - Xueyu Zhu, Andy J. Ma:
Weakly-Supervised Lesion Segmentation with Self-Guidance by CT Intensity Clustering. 1-5 - Fahimeh Fooladgar, Minh Nguyen Nhat To, Golara Javadi, Samareh Samadi, Sharareh Bayat, Samira Sojoudi, Walid Eshumani, Antonio Hurtado, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi:
Uncertainty-Aware Deep Ensemble Model For Targeted Ultrasound-Guided Prostate Biopsy. 1-5 - Wei Liao, Ching-Yun Ko, Tsui-Wei Weng, Luca Daniel, Joel Voldman:
Facile Prediction of Neutrophil Activation State from Microscopy Images: A New Dataset and Comparative Deep Learning Approaches. 1-5 - Rebeca Vétil, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors. 1-4 - Zigang Li, Tingting Liu, Jun Wang, Changdong Zhang, Xiuyi Jia:
Multi-Scale Bidirectional Enhancement Network for 3d Dental Model Segmentation. 1-5 - Samuel Kubler, Jean-Christophe Olivo-Marin, Thibault Lagache:
Statistical Coupling Between time Point-Processes. 1-4 - Golnar K. Mahani, Ruizhe Li, Nikolaos Evangelou, Stamatios Sotiropolous, Paul S. Morgan, Andrew P. French, Xin Chen:
Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss. 1-5 - Ammu R, Neelam Sinha:
Transfer Learning for Fundus Image Quality Assessment Using Discriminating Patches. 1-4 - John Kalkhof, Camila González, Anirban Mukhopadhyay:
Disentanglement Enables Cross-Domain Hippocampus Segmentation. 1-5 - Ruipeng Zhang, Qinwei Xu, Chaoqin Huang, Ya Zhang, Yanfeng Wang:
Semi-Supervised Domain Generalization for Medical Image Analysis. 1-5 - Chakka Sai Pradeep, Neelam Sinha:
Multi-Tasking DSSD Architecture for Laparoscopic Cholecystectomy Surgical Assistance Systems. 1-4 - Weijin Xu, Huihua Yang, Mingying Zhang, Xipeng Pan, Wentao Liu, Songlin Yan:
Retinal Vessel Segmentation with VAE Reconstruction and Multi-Scale Context Extractor. 1-5 - Hui Wang, Zheng Zhang, Bo Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Zibo Ma, Wendong Wang:
A Feature Regularization Based Meta-Learning Framework for Generalizing Prostate Mri Segmentation. 1-4 - Jiaxing Gao, Changhe Li, Zhibin He, Yaonai Wei, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang:
Prediction of Cognitive Scores by Movie-Watching FMRI Connectivity and Eye Movement Via Spectral Graph Convolutions. 1-5 - Swati Rai, Jignesh S. Bhatt, Sarat Kumar Patra:
Accessible, Affordable and Low-Risk Lungs Health Monitoring in Covid-19: Deep Cascade Reconstruction from Degraded LR-ULDCT. 1-5 - Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. 1-5 - Lefei Zhang, Shixiang Feng, Yu Wang, Yanfeng Wang, Ya Zhang, Xin Chen, Qi Tian:
Unsupervised Ensemble Distillation for Multi-Organ Segmentation. 1-5 - K. Pavan Kumar Reddy, Viswanath P. Sudarshan, Jayavardhana Gubbi, Arpan Pal:
Structural-Mr Informed QSM Reconstruction Using Deep Image Prior. 1-4 - Yi Zhao, Jingyong Su, Zhipeng Yang, Zhaohua Ding:
A Riemannian Framework for Functional Clustering of Whole Brain White Matter Fibers. 1-5 - Álvaro Belloso, Xirang Zhang, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
A Feasibility Study of Motion Compensation for Cardiac Gated Spect Images Using a Cascaded Network. 1-4 - Vasiliki Stergiopoulou, Luca Calatroni, Sébastien Schaub, Laure Blanc-Féraud:
3D Image Super-Resolution by Fluorophore Fluctuations and MA-TIRF Microscopy Reconstruction (3D-COL0RME). 1-4 - Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal:
Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. 1-5 - Alejandra Moreno, Andrea Rueda, Fabio Martínez:
A Multi-Scale Self-Attention Network to Discriminate Pulmonary Nodules. 1-4 - Karina Ruzaeva, Katharina Nöh, Benjamin Berkels:
A Hybrid Multi-Object Segmentation Framework with Model-Based B-Splines for Microbial Single Cell Analysis. 1-5 - Jianfeng Wu, Yi Su, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang:
Investigating the Effect of Tau Deposition and Apoe on Hippocampal Morphometry in Alzheimer's Disease: A Federated Chow Test Model. 1-5 - Chuanpu Li, Tianbao Liu, Zeli Chen, Shumao Pang, Liming Zhong, Qianjin Feng, Wei Yang:
SPA-RESUNET: Strip Pooling Attention Resunet for Multi-Class Segmentation of Vertebrae and Intervertebral Discs. 1-5 - Katsuhiro Nakai, Xian-Hua Han:
DPE-BoTNeT: Dual Position Encoding Bottleneck Transformer Network for Skin Lesion Classification. 1-5 - Md. Ashequr Rahman, Zitong Yu, Abhinav K. Jha:
Ideal-Observer Computation with Anthropomorphic Phantoms using Markov Chain Monte Carlo. 1-5 - Shiyu Wu, Guole Liu, Ge Yang:
Fast Particle Picking For Cryo-Electron Tomography Using One-Stage Detection. 1-5 - Hao Wu, Shuchao Pang, Arcot Sowmya:
Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets. 1-5 - Kumari Pooja, Zaccharie Ramzi, Chaithya G. R., Philippe Ciuciu:
MC-PDNet: Deep Unrolled Neural Network For Multi-Contrast Mr Image Reconstruction From Undersampled K-Space Data. 1-5 - Xin Xing, Gongbo Liang, Yu Zhang, Subash Khanal, Ai-Ling Lin, Nathan Jacobs:
Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis. 1-4 - Elizaveta Savochkina, Lok Hin Lee, He Zhao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation. 1-4 - Hao Liu, Yuchen Du, Chengyang An, Lisheng Wang:
Unsupervised Retinal Lesion Detection by Learning to Restore Corrupted Fundus Images. 1-4 - Shijun Liang, Ashwin Sreevatsa, Anish Lahiri, Saiprasad Ravishankar:
LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data. 1-4 - Fan Yang, Guorong Wu, Won Hwa Kim:
Disentangled Representation of Longitudinal Β-Amyloid for AD Via Sequential Graph Variational Autoencoder with Supervision. 1-5 - Shen Zhao, Rizwan Ahmad, Lee C. Potter:
Maximizing Unambiguous Velocity Range in Phase-Contrast MRI with Multipoint Encoding. 1-5 - Marcel Beetz, Abhirup Banerjee, Yuling Sang, Vicente Grau:
Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders. 1-4 - Nanway Chen, Ramtin Gharleghi, Arcot Sowmya, Susann Beier:
Learning Left Main Bifurcation Shape Features with an Autoencoder. 1-4 - Azael de Melo e Sousa, Ilan F. Da Silva, Noemí Maritza Lapa Romero, Rachel Zerbini, Fabiano Reis, João Luiz Dihl Comba, Alexandre X. Falcão:
Improving Automated Lung Segmentation in Ct Images by Adding Anomalies Adjacent to the Pleura. 1-5 - Yijin Huang, Weikai Huang, Wenhao Luo, Xiaoying Tang:
Lesion2void: Unsupervised Anomaly Detection in Fundus Images. 1-5 - Zheling Meng, Yangyang Zhu, Xiao Fan, Jie Tian, Fang Nie, Kun Wang:
CEUSegNet: A Cross-Modality Lesion Segmentation Network for Contrast-Enhanced Ultrasound. 1-5 - Ricardo A. Gonzales, Jérôme Lamy, Felicia Seemann, Einar Heiberg, Dana C. Peters:
Automated Measurements of Mitral and Tricuspid Annular Dimensions in Cardiovascular Magnetic Resonance. 1-4 - Hao Li, Dewei Hu, Han Liu, Jiacheng Wang, Ipek Oguz:
Cats: Complementary CNN and Transformer Encoders for Segmentation. 1-5 - Heng Li, Haofeng Liu, Xiaoxuan Wang, Chenlang Yi, Hao Chen, Yan Hu, Jiang Liu:
Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation. 1-5 - Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. 1-5 - Yongbei Zhu, Liusu Wang, He Yu, Meili Liu, Mingyu Zhang, Weimin Li, Shuo Wang, Jie Tian:
Decouple-Couple Network for Drug-Resistant EGFR Mutation Subtype Prediction with Lung Cancer CT Images. 1-5 - Vatsala Sharma, Ansh Khurana, Sriram Yenamandra, Suyash P. Awate:
Semi-Supervised Deep Expectation-Maximization for Low-Dose Pet-Ct. 1-5 - Hritam Basak, Rajarshi Bhattacharya, Rukhshanda Hussain, Agniv Chatterjee:
An Exceedingly Simple Consistency Regularization Method For Semi-Supervised Medical Image Segmentation. 1-4 - Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee:
A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers. 1-4 - Amir Adler, Mati Wax, Dimitrios Pantazis:
Brain Source Localization by Alternating Projection. 1-5 - Carley G. Stewart, Brieanna Hilkin, Nicholas D. Gansemer, Susan A. Walsh, Michael R. Acevado, Vamsidhar Akurathi, Darpan N. Pandya, Alejandro P. Comellas, Thaddeus J. Wadas, David W. Dick, John J. Sunderland, David A. Stoltz, Michael J. Welsh, Mahmoud H. Abou Alaiwa:
Measurement of Mucociliary Transport: Novel Application of Positron Emission Tomography. 1-5 - Haofeng Liu, Heng Li, Mingyang Ou, Yitian Zhao, Hong Qi, Yan Hu, Jiang Liu:
Domain Generalization in Restoration of Cataract Fundus Images Via High-Frequency Components. 1-5 - Viswanath P. Sudarshan, Vartika Sengar, Pavan Kumar Reddy, Jayavardhana Gubbi, Arpan Pal:
Towards Improved Robustness of Low-Dose CT Perfusion Imaging Via Joint Estimation of Structural CT and Functional CBF Images. 1-4 - Hyun-Jic Oh, Kanggeun Lee, Won-Ki Jeong:
Scribble-Supervised Cell Segmentation Using Multiscale Contrastive Regularization. 1-5 - Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Ying Huang, Weili Lin, Li Wang, Gang Li:
Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces. 1-5 - Kristine Sørensen, Oscar Camara, Ole De Backer, Klaus F. Kofoed, Rasmus R. Paulsen:
NUDF: Neural Unsigned Distance Fields for High Resolution 3D Medical Image Segmentation. 1-5 - Maliheh Miri, Vahid Abootalebi, Hamid Behjat:
Enhanced Motor Imagery-Based Eeg Classification Using A Discriminative Graph Fourier Subspace. 1-5 - Qifan Xu, Qihui Lyu, Dan Ruan, Ke Sheng:
To What Extent Can Plug-and-Play Methods Outperform Neural Networks Alone In Low-Dose CT Reconstruction. 1-5 - Manna E. Philip, Ana Ferrieira, Aishani Tomar, Sparsh Chawla, Alec W. Welsh, Gordon N. Stevenson, Arcot Sowmya:
A Machine Learning Framework for Fully Automatic 3D Fetal Cardiac Ultrasound Evaluation. 1-5 - Meili Liu, Shuo Wang, He Yu, Yongbei Zhu, Liusu Wang, Mingyu Zhang, Zhangjie Wu, Xiaohu Li, Weimin Li, Jie Tian:
A Lung-Parenchyma-Contrast Hybrid Network For EGFR Gene Mutation Prediction In Lung Cancer. 1-5 - Eu Wern The, Graham W. Taylor:
Learning with Less Labels in Digital Pathology Via Scribble Supervision from Natural Images. 1-5 - Audrey Duran, Gaspard Dussert, Carole Lartizien:
Perfusion Imaging in Deep Prostate Cancer Detection from MP-MRI: Can We Take Advantage of it? 1-5 - Yu Fu, Shunjie Dong, Yi Liao, Le Xue, Yuanfan Xu, Feng Li, Qianqian Yang, Tianbai Yu, Mei Tian, Cheng Zhuo:
A Resource-Efficient Deep Learning Framework for Low-Dose Brain Pet Image Reconstruction and Analysis. 1-5 - Md. Murad Hossain, Elisa E. Konofagou:
Elasticity Quantification Using an Empirical Relationship Between Single Transducer -Harmonic Motion Imaging-Derived Displacement Versus Oscillation Frequency. 1-4 - Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Yang Song:
Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network. 1-4 - Zhonghua Wang, Junyan Lyu, Wenhao Luo, Xiaoying Tang:
Superpixel Inpainting For Self-Supervised Skin Lesion Segmentation from Dermoscopic Images. 1-4 - Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch:
Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks. 1-5 - Olivier Lessard, François Guibault, Julia Keren, Farida Cheriet:
Dental Restoration using a Multi-Resolution Deep Learning Approach. 1-4 - Sayantan Dutta, Nwigbo Kenule Tuador, Jérôme Michetti, Bertrand Georgeot, Duong-Hung Pham, Adrian Basarab, Denis Kouamé:
Quantum Denoising-Based Super-Resolution Algorithm Applied to Dental Tomography Images. 1-4 - Mo Zhang, Bin Dong, Quanzheng Li:
Joint Attention for Medical Image Segmentation. 1-5 - Shichuan Zhang, Chenglu Zhu, Honglin Li, Jiatong Cai, Lin Yang:
Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images. 1-5 - Zhe Wang, Aladine Chetouani, Didier Hans, Eric Lespessailles, Rachid Jennane:
Siamese-Gap Network for Early Detection of Knee Osteoarthritis. 1-4 - Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le:
SS-3DCAPSNET: Self-Supervised 3d Capsule Networks for Medical Segmentation on Less Labeled Data. 1-5 - Jie Zeng, Chongyang Cao, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction. 1-5 - Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo:
Self-Semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation. 1-5 - Neha Srivathsa, Razi Mahmood, Tanveer F. Syeda-Mahmood:
Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays. 1-5 - Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Sarv Priya, Rolf F. Schulte, Mathews Jacob:
Joint Alignment and Reconstruction of Multislice Dynamic MRI Using Variational Manifold Learning. 1-4 - Hanvit Kim, Si Young Yie, Se Young Chun, Jae Sung Lee:
Purecomb: Poisson Unbiased Risk Estimator Based Ensemble of Self-Supervised Deep Denoisers For Clinical Bone Scan Image. 1-5 - Yejia Zhang, Jingjing Zhang, Xiaomin Zha, Yiru Zhou, Yunxia Cao, Danny Z. Chen:
Improving Human Sperm Head Morphology Classification With Unsupervised Anatomical Feature Distillation. 1-5 - Mingxing Li, Shenglong Zhou, Chang Chen, Yueyi Zhang, Dong Liu, Zhiwei Xiong:
Retinal Vessel Segmentation with Pixel-Wise Adaptive Filters. 1-5 - Zijing Zhang, Huihui Ye, Maosen Li, Huafeng Liu, Berkin Bilgic:
Liver-Buda-Sage: Simultaneous Whole Liver T2 and T*2 Mapping in one Breath-Hold. 1-5 - Xiaoru Gao, Rong Tao, Guoyan Zheng:
BIDMIR: Bi-Directional Medical Image Registration with Symmetric Attention and Cyclic Consistency Regularization. 1-5 - Vasiliki Sideri-Lampretsa, Georgios Kaissis, Daniel Rueckert:
Multi-Modal Unsupervised Brain Image Registration Using Edge Maps. 1-5 - Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula:
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks. 1-4 - Tao Peng, Yiyun Wu, Jing Cai:
Improving the Detection of The Prostrate in Ultrasound Images Using Machine Learning Based Image Processing. 1-4 - Jun Shi, Kun Wu, Yushan Zheng, Yuxin He, Jun Li, Zhiguo Jiang, Lanlan Yu:
Global-Local Attention Network for Weakly Supervised Cervical Cytology ROI Analysis. 1-5 - Benoît Sauty, Stanley Durrleman:
Riemannian Metric Learning for Progression Modeling of Longitudinal Datasets. 1-5 - Kyung-Su Kim, Chae Yeon Lim, Myung Jin Chung:
Low-Dose Computed Tomography Reconstruction without Learning Data: Performance Improvement by Exploiting Joint Correlation Between Adjacent Slices. 1-5 - Anjali Doshi, Marian Shaw, Ruxandra Tonea, Rosalía Minyety, Soonhee Moon, Andrew Laine, Jia Guo, Tal Danino:
A Deep Learning Pipeline For Segmentation of Proteus Mirabilis Colony Patterns. 1-5 - Weizhen Liu, Qian He, Xuming He:
Weakly Supervised Nuclei Segmentation Via Instance Learning. 1-5 - Mario Viti, Hugues Talbot, Nicolas Gogin:
Transformer Graph Network for Coronary Plaque Localization in CCTA. 1-5 - Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Vince D. Calhoun:
Longitudinal Whole-Brain Functional Network Change Patterns Over A Two-Year Period In The ABCD Data. 1-4 - Nazim N. Shaikh, Kamil Wasag, Yao Nie:
Artifact Identification in Digital Histopathology Images Using Few-Shot Learning. 1-4 - Thanh M. Huynh, Chanh D. T. Nguyen, Khoa N. A. Nguyen, Trung H. Bui, Steven Q. H. Truong:
CapNeXt: Unifying Capsule And Resnext For Medical Image Segmentation. 1-5 - Thomas Durantel, Julie Coloigner, Olivier Commowick:
A Convolutional Wasserstein Distance for Tractography Evaluation: Complementarity Study to State-of-the-Art Measures. 1-5 - Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer:
Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation. 1-5 - Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng:
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. 1-5 - Yan Hu, Yongsheng Pan, Yang Song, Erik Meijering, Zhiming Cui, Yue Zhao, Zhongxiang Ding, Min Zhu, Dinggang Shen:
Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images. 1-4 - Xiang Xie, Pengxiang Yan, Fang-Ying Cheng, Feng Gao, Qingyun Mai, Guanbin Li:
Early Prediction of Blastocyst Development via Time-Lapse Video Analysis. 1-5 - Tanjin Taher Toma, Yuexuan Wu, Jie Wang, Anuj Srivastava, Andreas Gahlmann, Scott T. Acton:
Realistic-Shape Bacterial Biofilm Simulator for Deep Learning-Based 3D Single-Cell Segmentation. 1-5 - Dingyi Rong, Jiancheng Yang, Bingbing Ni, Bilian Ke:
Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision. 1-5 - José Timaná, Hector Chahuara, Lokesh Basavarajappa, Adrian Basarab, Kenneth Hoyt, Roberto J. Lavarello:
Simultaneous Imaging of Ultrasonic Backscatter and Attenuation Coefficients for Liver Steatosis Detection in a Murine Animal Model. 1-4 - Ranjeet Ranjan Jha, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam:
LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention. 1-5 - Gayathri Mahalingam, Tong Jiao, Casey Schneider-Mizell, Agnes Bodor, Russel Torres, Marc Takeno, JoAnn Buchanan, Daniel Bumbarger, Wenjing Yin, Derrick Brittain, R. Clay Reid, Nuno daCosta:
Anomaly Detection in EM Images - A Zero-Shot Learning Approach. 1-5 - Sumukha Prasad, Mohamed Almekkawy:
DL-UCT: A Deep Learning Framework for Ultrasound Computed Tomography. 1-5 - Aliasghar Tarkhan, Trung Kien Nguyen, Noah Simon, Thomas Bengtsson, Paolo Ocampo, Jian Dai:
Attention-Based Deep Multiple Instance Learning with Adaptive Instance Sampling. 1-5 - A. N. Madhavanunni, Mahesh Raveendranatha Panicker:
Lesion Detectability and Contrast Enhancement with Beam Multiply and Sum Beamforming for Non-Steered Plane Wave Ultrasound Imaging. 1-4 - Most Husne Jahan, Abdullah-Al-Zubaer Imran:
Lightseg: Efficient Yet Effective Medical Image Segmentation. 1-4 - Divij Singh, Ayush Somani, Alexander Horsch, Dilip K. Prasad:
Counterfactual Explainable Gastrointestinal and Colonoscopy Image Segmentation. 1-5 - An Xu, Shaoyu Wang, Shaoping Ye, Jingyi Fan, Xiujin Shi, Xiaoling Xia:
Ca-Mt: A Self-Ensembling Model for Semi-Supervised Cardiac Segmentation with Elliptical Descriptor Based Contour-Aware. 1-5 - David Sriker, Hayit Greenspan, Jacob Goldberger:
Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization. 1-5 - Abu Mohammed Raisuddin, Huy Hoang Nguyen, Aleksei Tiulpin:
Deep Semi-Supervised Active Learning for Knee Osteoarthritis Severity Grading. 1-5 - Shichen Luo, Zhan Heng, Maurice Pagnucco, Yang Song:
Two-Stage Topological Refinement Network for Retinal Artery/Vein Classification. 1-4 - Nian Wu, Jian Wang, Miaomiao Zhang, Guixu Zhang, Yaxin Peng, Chaomin Shen:
Hybrid Atlas Building with Deep Registration Priors. 1-5 - Ta Duc Huy, Hoang Cao Huyen, Chanh D. T. Nguyen, Soan Thi Minh Duong, Trung H. Bui, Steven Q. H. Truong:
Adversarial Contrastive Fourier Domain Adaptation for Polyp Segmentation. 1-5 - Hélène Kabbech, Ihor Smal:
Identification of Diffusive States in Tracking Applications Using Unsupervised Deep Learning Methods. 1-4 - Mythri V, Alphin J. Thottupattu, Naren Akash R. J, Jayanthi Sivaswamy:
A Method to Remove Size Bias in Sub-Cortical Structure Segmentation. 1-4 - Yinzhu Jin, Jonathan C. Garneau, P. Thomas Fletcher:
Feature Gradient Flow for Interpreting Deep Neural Networks in Head and Neck Cancer Prediction. 1-5 - Linkai Peng, Li Lin, Pujin Cheng, Ziqi Huang, Xiaoying Tang:
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. 1-5 - Shengzhu Yang, Xi Zhang, He Zhao, Huiqi Li, Hanruo Liu, Ningli Wang:
AMD Classification Based on Adversarial Domain Adaptation with Center Loss. 1-5 - Deepa Anand, Rohan Patil, Utkarsh Agrawal, Rahul Venkataramani, Hariharan Ravishankar, Prasad Sudhakar:
Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. 1-5 - Yuanpin Zhou, Yao Lu:
Deep Hierarchical Multiple Instance Learning for Whole Slide Image Classification. 1-4 - Ximu Deng, Rituparna Sarkar, Elisabeth Labruyere, Jean-Christophe Olivo-Marin, Anuj Srivastava:
Characterizing Cell Populations Using Statistical Shape Modes. 1-5 - Haykel Snoussi, Benoît Combès, Olivier Commowick, Elise Bannier, Anne Kerbrat, Julien Cohen-Adad, Christian Barillot, Emmanuel Caruyer:
Reproducibility and Evolution of Diffusion Mri Measurements Within the Cervical Spinal Cord in Multiple Sclerosis. 1-5 - Bethany H. Thompson, Gaetano Di Caterina, Jeremy P. Voisey:
Pseudo-Label Refinement Using Superpixels for Semi-Supervised Brain Tumour Segmentation. 1-5 - Nikhil Cherian Kurian, S. Varsha, Akshay Bajpai, Sunil Patel, Amit Sethi:
Improved Histology Image Classification under Label Noise Via Feature Aggregating Memory Banks. 1-5 - Ziyang Li, Zi Li, Risheng Liu, Zhongxuan Luo, Xin Fan:
Coupling Deep Deformable Registration with Contextual Refinement for Semi-Supervised Medical Image Segmentation. 1-5 - Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell:
Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach. 1-5 - Meng Xu, Kuan Huang, Xiaojun Qi:
Multi-Task Learning with Context-Oriented Self-Attention for Breast Ultrasound Image Classification and Segmentation. 1-5 - Changhe Li, Jiaxing Gao, Zhibin He, Songyao Zhang, Yaonai Wei, Lei Du, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang:
Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection. 1-5 - Mengxuan Li, He Zhao, Jie Xu, Huiqi Li:
Peripapillary Atrophy Segmentation Based on ASM Loss. 1-4 - Prathyusha Akundi, Jayanthi Sivaswamy:
Incremental Learning for a Flexible CAD System Design. 1-4 - Qi Gao, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr:
Quantifying Newly Appearing Replication FOCI in Cell Nuclei Based on 3d Non-Rigid Registration. 1-4 - Hanyue Zhou, Minsong Cao, Yugang Min, Stephanie Yoon, Amar Kishan, Dan Ruan:
Ensemble Learning and Tensor Regularization for Cone-Beam Computed Tomography-Based Pelvic Organ Segmentation. 1-4 - Xiang Zhang, Xiao Zhang, Hangzai Luo, Sheng Zhong, Lei Tang:
Location-Guided Coarse-to-Fine Network for Whole Heart Segmentation. 1-5 - Xi Chen, Wenchuan Wu, Mark Chiew:
Locally Structured Low-Rank MR Image Reconstruction using Submatrix Constraints. 1-4 - Ankita Joshi, Yi Hong:
Efficient Diffeomorphic Image Registration using Multi-Scale Dual-Phased Learning. 1-5 - Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dinggang Shen:
Reconstruction of Standard-Dose Pet From Low-Dose Pet Via Dual-Frequency Supervision and Global Aggregation Module. 1-5 - Haorui He, Abhirup Banerjee, Marcel Beetz, Robin P. Choudhury, Vicente Grau:
Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function. 1-5 - Roman Spilger, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Deep Neural Network for Combined Particle Tracking and Colocalization Analysis in Two-Channel Microscopy Images. 1-4 - Weihao Yu, Hao Zheng, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Jie Yang:
Break: Bronchi Reconstruction by Geodesic Transformation and Skeleton Embedding. 1-5 - Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig:
An Efficient Anchor-Free Universal Lesion Detection in Ct-Scans. 1-4 - Leyu Yao, Fan He, Xiaofeng Wang, Lu Zhou, Haixia Peng, Xiaolin Huang:
Scheme And Dataset for Evaluating Computer-Aided Polyp Detection System in Colonoscopy. 1-5 - Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan:
Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients. 1-4 - Yuanfan Guo, Canqian Yang, Tiancheng Lin, Chunxiao Li, Rui Zhang, Rong Wu, Yi Xu:
Self Supervised Lesion Recognition for Breast Ultrasound Diagnosis. 1-4 - Chenglu Zhu, Yuxuan Sun, Honglin Li, Can Cui, Shichuan Zhang, Jiatong Cai, Yang Ling:
Weakly Supervised Classification using Multi-Level Instance-Aware Optimization on Cervical Cytologic Image. 1-5 - Jiatong Cai, Chenglu Zhu, Pingyi Chen, Shichuan Zhang, Honglin Li, Yuxuan Sun, Lin Yang:
Category Separation For Weakly Supervised Multi-Class Cell Counting. 1-5 - Markus Philipp, Neal Bacher, Stefan Saur, Franziska Mathis-Ullrich, Andrés Bruhn:
From Chairs To Brains: Customizing Optical Flow For Surgical Activity Localization. 1-5 - Brian C. Lee, Ayushi Sinha, Nicole Varble, William F. Pritchard, John W. Karanian, Bradford J. Wood, Torre Bydlon:
Breathing-Compensated Neural Networks for Real Time C-Arm Pose Estimation in Lung CT-Fluoroscopy Registration. 1-5 - Jianghao Wu, Ran Gu, Guiming Dong, Guotai Wang, Shaoting Zhang:
FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation. 1-5 - Safwan Wshah, Beilei Xu, Jason H. T. Bates, Katelin Morrissette:
Deep Fusion of Ultrasound Videos for Furosemide Classification. 1-4 - Mounir Lahlouh, Yasmina Chenoune, Raphaël Blanc, Jérôme Szewczyk, Nicolas Passat:
Aortic Arch Anatomy Characterization from MRA: A CNN-Based Segmentation Approach. 1-5 - Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung:
MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models. 1-4 - Xinkai Zhao, Chaowei Fang, De-Jun Fan, Xutao Lin, Feng Gao, Guanbin Li:
Cross-Level Contrastive Learning and Consistency Constraint for Semi-Supervised Medical Image Segmentation. 1-5 - Yang Lin, Hu Han, S. Kevin Zhou:
Deep Non-Linear Embedding Deformation Network for Cross-Modal Brain MRI Synthesis. 1-5 - Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
Corolla: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading. 1-4 - Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah, Dwarikanath Mahapatra, Zongyuan Ge:
Anomaly Detection In Retinal Images Using Multi-Scale Deep Feature Sparse Coding. 1-5
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-06-13 18:55 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
