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Publication search results
found 70 matches
- 2022
- Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar:
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. MICCAI (8) 2022: 673-683 - Fan Bai, Xiaohan Xing, Yantao Shen, Han Ma, Max Q.-H. Meng:
Discrepancy-Based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images. MICCAI (8) 2022: 24-34 - Hritam Basak, Sagnik Ghosal, Ram Sarkar:
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI. MICCAI (8) 2022: 224-233 - Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang:
Multiple Instance Learning with Mixed Supervision in Gleason Grading. MICCAI (8) 2022: 204-213 - Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification. MICCAI (8) 2022: 88-98 - Hanqing Chao, Jiajin Zhang, Pingkun Yan:
Regression Metric Loss: Learning a Semantic Representation Space for Medical Images. MICCAI (8) 2022: 427-436 - Qiuhui Chen, Yi Hong:
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations. MICCAI (8) 2022: 234-243 - Chaoyu Chen, Xin Yang, Ruobing Huang, Xindi Hu, Yankai Huang, Xiduo Lu, Xinrui Zhou, Mingyuan Luo, Yinyu Ye, Xue Shuang, Juzheng Miao, Yi Xiong, Dong Ni:
Fine-Grained Correlation Loss for Regression. MICCAI (8) 2022: 663-672 - William Consagra, Martin Cole, Zhengwu Zhang:
Analyzing Brain Structural Connectivity as Continuous Random Functions. MICCAI (8) 2022: 276-285 - Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. MICCAI (8) 2022: 375-385 - Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu:
Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. MICCAI (8) 2022: 365-374 - Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
FedHarmony: Unlearning Scanner Bias with Distributed Data. MICCAI (8) 2022: 695-704 - Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu:
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. MICCAI (8) 2022: 67-76 - Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli-Mosabbeb:
GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. MICCAI (8) 2022: 130-139 - Mohammad Mahdi Kazemi Esfeh, Zahra Gholami, Christina Luong, Teresa Tsang, Purang Abolmaesumi:
DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction. MICCAI (8) 2022: 525-534 - Botond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors. MICCAI (8) 2022: 320-329 - Lior Frenkel, Jacob Goldberger:
Calibration of Medical Imaging Classification Systems with Weight Scaling. MICCAI (8) 2022: 642-651 - Alvaro Gomariz, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel:
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation. MICCAI (8) 2022: 351-361 - Zhongyu Huang, Changde Du, Yingheng Wang, Huiguang He:
Graph Emotion Decoding from Visually Evoked Neural Responses. MICCAI (8) 2022: 396-405 - Yuhao Huang, Xin Yang, Xiaoqiong Huang, Jiamin Liang, Xinrui Zhou, Cheng Chen, Haoran Dou, Xindi Hu, Yan Cao, Dong Ni:
Online Reflective Learning for Robust Medical Image Segmentation. MICCAI (8) 2022: 652-662 - Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang:
Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning. MICCAI (8) 2022: 46-56 - Thierry Judge, Olivier Bernard, Mihaela Porumb, Agisilaos Chartsias, Arian Beqiri, Pierre-Marc Jodoin:
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. MICCAI (8) 2022: 492-502 - Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. MICCAI (8) 2022: 341-350 - Ming Kong, Zhengxing Huang, Kun Kuang, Qiang Zhu, Fei Wu:
TranSQ: Transformer-Based Semantic Query for Medical Report Generation. MICCAI (8) 2022: 610-620 - Nicholas Konz, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski:
The Intrinsic Manifolds of Radiological Images and Their Role in Deep Learning. MICCAI (8) 2022: 684-694 - Micha Kornreich, JinHyeong Park, Joschka Braun, Jayashri Pawar, James Browning, Richard Herzog, Benjamin Odry, Li Zhang:
Combining Mixed-Format Labels for AI-Based Pathology Detection Pipeline in a Large-Scale Knee MRI Study. MICCAI (8) 2022: 183-192 - Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. MICCAI (8) 2022: 514-524 - He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions. MICCAI (8) 2022: 214-223 - Jun Li, Shibo Li, Ying Hu, Huiren Tao:
A Self-guided Framework for Radiology Report Generation. MICCAI (8) 2022: 588-598 - Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou:
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts. MICCAI (8) 2022: 151-161
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