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Publication search results
found 114 matches
- 2023
- Yuanyuan Wei, Roger C. Tam, Xiaoying Tang:
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging. MIDL 2023: 1798-1812 - Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi:
Rotation-Scale Equivariant Steerable Filters. MIDL 2023: 695-715 - Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel H. Saltz:
Few Shot Hematopoietic Cell Classification. MIDL 2023: 1085-1103 - Jiacheng Wang, Kathleen E. Larson, Ipek Oguz:
Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses. MIDL 2023: 170-189 - Wei Zhu, Runtao Zhou, Yuan Yao, Timothy Douglas Campbell, Rajat Kumar Jain, Jiebo Luo:
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification. MIDL 2023: 1680-1690 - Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Bruce Fischl, Adrian V. Dalca:
Joint cortical registration of geometry and function using semi-supervised learning. MIDL 2023: 862-876 - Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel H. Saltz, Chao Chen:
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. MIDL 2023: 74-94 - Kudaibergen Abutalip, Numan Saeed, Mustaqeem Khan, Abdulmotaleb El-Saddik:
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training. MIDL 2023: 1176-1198 - Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. MIDL 2023: 1406-1422 - Oleksii Bashkanov, Marko Rak, Lucas Engelage, Christianus Hansen:
Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data. MIDL 2023: 1225-1238 - Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. MIDL 2023: 1019-1032 - Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel:
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. MIDL 2023: 39-52 - Zhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu, Aaron Carass, Jonghye Woo, Jerry L. Prince:
DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue. MIDL 2023: 134-150 - Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin:
Denoising Diffusion Models for Memory-efficient Processing of 3D Medical Images. MIDL 2023: 552-567 - Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman:
Reproducibility of Training Deep Learning Models for Medical Image Analysis. MIDL 2023: 1269-1287 - Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Cailey Irene Kerley, Praitayini Kanakaraj, Qi Yang, Graham Walter Johnson, Daniel Moyer, Kurt Gregory Schilling, Francois Rheault, Bennett A. Landman:
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context. MIDL 2023: 1124-1143 - Alexander Campbell, Simeon Emilov Spasov, Nicola Toschi, Pietro Lio:
DBGDGM: Dynamic Brain Graph Deep Generative Model. MIDL 2023: 1346-1371 - Alexander Campbell, Antonio Giuliano Zippo, Luca Passamonti, Nicola Toschi, Pietro Lio:
DBGSL: Dynamic Brain Graph Structure Learning. MIDL 2023: 1318-1345 - Adam Casson, Siqi Liu, Ran A. Godrich, Hamed Aghdam, Brandon Rothrock, Kasper Malfroid, Christopher Kanan, Thomas J. Fuchs:
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels. MIDL 2023: 18-38 - Sevim Cengiz, Ibrahim Almakky, Mohammad Yaqub:
FUSQA: Fetal Ultrasound Segmentation Quality Assessment. MIDL 2023: 1666-1679 - Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou:
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning. MIDL 2023: 496-525 - Yanru Chen, Michael T. Lu, Vineet K. Raghu:
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images. MIDL 2023: 1826-1858 - Ruizhe Chen, Jianfei Yang, Yang Feng, Jin Hao, Zuozhu Liu:
Model Adaptive Tooth Segmentation. MIDL 2023: 775-798 - Owen Crystal, April Khademi, Alan R. Moody, Pejman Jahbedar Maralani, Sandra E. Black:
Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI. MIDL 2023: 1895-1909 - Avirup Dey, Mehran Ebrahimi:
MTSR-MRI: Combined Modality Translation and Super-Resolution of Magnetic Resonance Images. MIDL 2023: 743-757 - Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch:
Sparse Activations for Interpretable Disease Grading. MIDL 2023: 1-17 - Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin:
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images. MIDL 2023: 526-551 - Amanda Dy, Ngoc-Nhu Jennifer Nguyen, Seyed Hossein Mirjahanmardir, Dimitrios Androutsos, Melanie Dawe, Anthony Fyles, Wei Shi, Fei-Fei Liu, Susan Done, April Khademi:
Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale Deployment. MIDL 2023: 653-665 - Axel Elaldi, Guido Gerig, Neel Dey:
E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI. MIDL 2023: 301-319 - Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh:
Domain adaptation using optimal transport for invariant learning using histopathology datasets. MIDL 2023: 1765-1782
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