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Publication search results
found 48 matches
- 2024
- Xiaohuan Cao, Xuanang Xu, Islem Rekik, Zhiming Cui, Xi Ouyang:
Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14349, Springer 2024, ISBN 978-3-031-45675-6 [contents] - 2023
- Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma:
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. MLMI@MICCAI (2) 2023: 114-123 - Jules Collenne, Rabah Iguernaissi, Séverine Dubuisson, Djamal Merad:
Enhancing Anomaly Detection in Melanoma Diagnosis Through Self-Supervised Training and Lesion Comparison. MLMI@MICCAI (2) 2023: 155-163 - Dmitry Demidov, Roba Al Majzoub, Amandeep Kumar, Fahad Shahbaz Khan:
Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes. MLMI@MICCAI (2) 2023: 357-366 - Kehao Deng, Bin Wang, Shanshan Ma, Zhong Xue, Xiaohuan Cao:
A Bone Lesion Identification Network (BLIN) in CT Images with Weakly Supervised Learning. MLMI@MICCAI (2) 2023: 243-252 - Shikha Dubey, Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. MLMI@MICCAI (2) 2023: 447-456 - Maximilian Fischer, Peter Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. MLMI@MICCAI (2) 2023: 427-436 - Shruti Prashant Gadewar, Alyssa H. Zhu, Sunanda Somu, Abhinaav Ramesh, Iyad Ba Gari, Sophia I. Thomopoulos, Paul M. Thompson, Talia M. Nir, Neda Jahanshad:
Normative Aging for an Individual's Full Brain MRI Using Style GANs to Detect Localized Neurodegeneration. MLMI@MICCAI (2) 2023: 387-395 - Ramona Ghilea, Islem Rekik:
Replica-Based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution. MLMI@MICCAI (2) 2023: 273-282 - Neha Gianchandani, Johanna Ospel, M. Ethan MacDonald, Roberto Souza:
A Multitask Deep Learning Model for Voxel-Level Brain Age Estimation. MLMI@MICCAI (2) 2023: 283-292 - Kangfu Han, Fenqiang Zhao, Dajiang Zhu, Tianming Liu, Feng Yang, Gang Li:
Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data. MLMI@MICCAI (2) 2023: 184-193 - Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks:
ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance. MLMI@MICCAI (2) 2023: 377-386 - Masum Shah Junayed, Sheida Nabavi:
A Scaled Denoising Attention-Based Transformer for Breast Cancer Detection and Classification. MLMI@MICCAI (2) 2023: 346-356 - Firas Khader, Jakob Nikolas Kather, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn:
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers. MLMI@MICCAI (2) 2023: 417-426 - Jacob S. Leiby, Matthew E. Lee, Eun Kyung Choe, Dokyoon Kim:
Data-Driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans. MLMI@MICCAI (2) 2023: 264-272 - Sirui Li, Fuheng Zhang, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification. MLMI@MICCAI (2) 2023: 303-313 - Xixi Liu, Jennifer Alvén, Ida Häggström, Christopher Zach:
Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays. MLMI@MICCAI (2) 2023: 293-302 - Feihong Liu, Yongsheng Pan, Junwei Yang, Fang Xie, Xiaowei He, Han Zhang, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen:
Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. MLMI@MICCAI (2) 2023: 33-42 - Razi Mahmood, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Fact-Checking of AI-Generated Reports. MLMI@MICCAI (2) 2023: 214-223 - Masoud Mokhtari, Neda Ahmadi, Teresa S. M. Tsang, Purang Abolmaesumi, Renjie Liao:
GEMTrans: A General, Echocardiography-Based, Multi-level Transformer Framework for Cardiovascular Diagnosis. MLMI@MICCAI (2) 2023: 1-10 - Santiago Posso Murillo, Oscar Skean, Luis G. Sánchez Giraldo:
Non-uniform Sampling-Based Breast Cancer Classification. MLMI@MICCAI (2) 2023: 335-345 - Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé:
3D Transformer Based on Deformable Patch Location for Differential Diagnosis Between Alzheimer's Disease and Frontotemporal Dementia. MLMI@MICCAI (2) 2023: 53-63 - Etienne Pochet, Rami Maroun, Roger Trullo:
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification. MLMI@MICCAI (2) 2023: 437-446 - Zirui Qiu, Hassan Rivaz, Yiming Xiao:
Is Visual Explanation with Grad-CAM More Reliable for Deeper Neural Networks? A Case Study with Automatic Pneumothorax Diagnosis. MLMI@MICCAI (2) 2023: 224-233 - Yiqing Shen, Pengfei Guo, Jingpu Wu, Qianqi Huang, Nhat Le, Jinyuan Zhou, Shanshan Jiang, Mathias Unberath:
MoViT: Memorizing Vision Transformers for Medical Image Analysis. MLMI@MICCAI (2) 2023: 205-213 - Yunlong Sun, Yiyao Liu, Junlong Qu, Xiang Dong, Xuegang Song, Baiying Lei:
COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism. MLMI@MICCAI (2) 2023: 194-204 - Aniruddha Tamhane, Daniel Dobkin, Ore Shtalrid, Moshe Bouhnik, Erez Posner, Tse'ela Mida:
Consistency Loss for Improved Colonoscopy Landmark Detection with Vision Transformers. MLMI@MICCAI (2) 2023: 124-133 - Yuwen Tan, Xiang Xiang:
Boundary-Constrained Graph Network for Tooth Segmentation on 3D Dental Surfaces. MLMI@MICCAI (2) 2023: 94-103 - Tianli Tao, Jiawei Huang, Feihong Liu, Mianxin Liu, Liang-hu Guo, Xinyi Cai, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Lixuan Zhu, Qing Yang, Dinggang Shen, Han Zhang:
Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint. MLMI@MICCAI (2) 2023: 467-475 - Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro:
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) 2023: 11-21
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