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Publication search results
found 74 matches
- 2023
- Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar:
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. MICCAI (2) 2023: 350-360 - Amine Amyar, Shiro Nakamori, Manuel Morales, Siyeop Yoon, Jennifer Rodriguez, Jiwon Kim, Robert M. Judd, Jonathan W. Weinsaft, Reza Nezafat:
Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization. MICCAI (2) 2023: 639-648 - Muhammad Asad, Helena Williams, Indrajeet Mandal, Sarim Ather, Jan Deprest, Jan D'hooge, Tom Vercauteren:
Adaptive Multi-scale Online Likelihood Network for AI-Assisted Interactive Segmentation. MICCAI (2) 2023: 564-574 - Youssef Assis, Liang Liao, Fabien Pierre, René Anxionnat, Erwan Kerrien:
Aneurysm Pose Estimation with Deep Learning. MICCAI (2) 2023: 543-553 - Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q.-H. Meng:
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation. MICCAI (2) 2023: 14-24 - Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction. MICCAI (2) 2023: 532-542 - Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li:
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. MICCAI (2) 2023: 318-328 - Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Gang Li:
Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning. MICCAI (2) 2023: 618-627 - Hyuna Cho, Guorong Wu, Won Hwa Kim:
Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. MICCAI (2) 2023: 776-786 - Yoni Choukroun, Lior Golgher, Pablo Blinder, Lior Wolf:
Reconstructing the Hemodynamic Response Function via a Bimodal Transformer. MICCAI (2) 2023: 371-381 - Linrui Dai, Wenhui Lei, Xiaofan Zhang:
Efficient Subclass Segmentation in Medical Images. MICCAI (2) 2023: 266-275 - Zhifang Deng, Dandan Li, Shi Tan, Ying Fu, Xueguang Yuan, Xiaohong Huang, Yong Zhang, Guangwei Zhou:
FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation. MICCAI (2) 2023: 170-180 - Yuhao Du, Yuncheng Jiang, Shuangyi Tan, Xusheng Wu, Qi Dou, Zhen Li, Guanbin Li, Xiang Wan:
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models. MICCAI (2) 2023: 339-349 - Luisa Gallée, Meinrad Beer, Michael Götz:
Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. MICCAI (2) 2023: 435-445 - Jiaxing Gao, Lin Zhao, Tianyang Zhong, Changhe Li, Zhibin He, Yaonai Wei, Shu Zhang, Lei Guo, Tianming Liu, Junwei Han, Tuo Zhang:
Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet. MICCAI (2) 2023: 287-296 - Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich:
Distilling BlackBox to Interpretable Models for Efficient Transfer Learning. MICCAI (2) 2023: 628-638 - Asif Hanif, Muzammal Naseer, Salman H. Khan, Mubarak Shah, Fahad Shahbaz Khan:
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation. MICCAI (2) 2023: 457-467 - Juyeon Heo, Pingfan Song, Weiyang Liu, Adrian Weller:
Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. MICCAI (2) 2023: 446-456 - Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou:
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. MICCAI (2) 2023: 500-510 - Ze Jin, Maolin Pang, Yuqiao Yang, Fahad Parvez Mahdi, Tianyi Qu, Ren Sasage, Kenji Suzuki:
Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models. MICCAI (2) 2023: 713-722 - Md Abdul Kadir, Hasan Md Tusfiqur Alam, Daniel Sonntag:
EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation. MICCAI (2) 2023: 79-89 - Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park:
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. MICCAI (2) 2023: 521-531 - Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, Ryuji Hamamoto:
Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing. MICCAI (2) 2023: 403-413 - Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang:
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. MICCAI (2) 2023: 255-265 - Jaeung Lee, Keunho Byeon, Jin Tae Kwak:
Centroid-Aware Feature Recalibration for Cancer Grading in Pathology Images. MICCAI (2) 2023: 212-221 - Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko:
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. MICCAI (2) 2023: 649-659 - Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Few Shot Medical Image Segmentation with Cross Attention Transformer. MICCAI (2) 2023: 233-243 - Han Liu, Hao Li, Xing Yao, Yubo Fan, Dewei Hu, Benoit M. Dawant, Vishwesh Nath, Zhoubing Xu, Ipek Oguz:
COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation. MICCAI (2) 2023: 25-34 - Xiaofeng Liu, Helen A. Shih, Fangxu Xing, Emiliano Santarnecchi, Georges El Fakhri, Jonghye Woo:
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI. MICCAI (2) 2023: 46-56 - Zecheng Liu, Jia Wei, Rui Li, Jianlong Zhou:
SFusion: Self-attention Based N-to-One Multimodal Fusion Block. MICCAI (2) 2023: 159-169
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