MICCAI (2)

Publications

2023

Chen Yang, Yifan Liu, Yixuan Yuan
Transferability-Guided Multi-source Model Adaptation for Medical Image Segmentation. MICCAI (2) (2023)
Md Abdul Kadir, Hasan Md Tusfiqur Alam, Daniel Sonntag
EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation. MICCAI (2) (2023)
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)
Susu Sun, Lisa M. Koch, Christian F. Baumgartner
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? MICCAI (2) (2023)
Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. MICCAI (2) (2023)
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)
Chao Qin, Jiale Cao, Huazhu Fu, Rao Muhammad Anwer, Fahad Shahbaz Khan
A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos. MICCAI (2) (2023)
Hyuna Cho, Guorong Wu, Won Hwa Kim
Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. MICCAI (2) (2023)
Xinrui Zhou, Yuhao Huang, Wufeng Xue, Xin Yang, Yuxin Zou, Qilong Ying, Yuanji Zhang, Jia Liu, Jie Ren, Dong Ni
Inflated 3D Convolution-Transformer for Weakly-Supervised Carotid Stenosis Grading with Ultrasound Videos. MICCAI (2) (2023)
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)
Mohammad Mozafari, Adeleh Bitarafan, Mohammad Farid Azampour, Azade Farshad, Mahdieh Soleymani Baghshah, Nassir Navab
VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation. MICCAI (2) (2023)
Chenlu Zhan, Peng Peng, Hanrong Zhang, Haiyue Sun, Chunnan Shang, Tao Chen, Hongsen Wang, Gaoang Wang, Hongwei Wang
Debiasing Medical Visual Question Answering via Counterfactual Training. MICCAI (2) (2023)
Linhao Qu, Yingfan Ma, Zhiwei Yang, Manning Wang, Zhijian Song
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification. MICCAI (2) (2023)
Jiarong Ye, Haomiao Ni, Peng Jin, Sharon X. Huang, Yuan Xue
Synthetic Augmentation with Large-Scale Unconditional Pre-training. MICCAI (2) (2023)
Kihyun You, Jawook Gu, Jiyeon Ham, Beomhee Park, Jiho Kim, Eun Kyoung Hong, Woonhyuk Baek, Byungseok Roh
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training. MICCAI (2) (2023)
Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen
Few Shot Medical Image Segmentation with Cross Attention Transformer. MICCAI (2) (2023)
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)
Marcel Beetz, Abhirup Banerjee, Vicente Grau
Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction. MICCAI (2) (2023)
Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. MICCAI (2) (2023)
Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou
Continual Learning for Abdominal Multi-organ and Tumor Segmentation. MICCAI (2) (2023)
Frederik Pahde, Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. MICCAI (2) (2023)
Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman
Localized Questions in Medical Visual Question Answering. MICCAI (2) (2023)
Favour Nerrise, Qingyu Zhao, Kathleen L. Poston, Kilian M. Pohl, Ehsan Adeli
An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment. MICCAI (2) (2023)
Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. MICCAI (2) (2023)
Nina Weng, Martyna Plomecka, Manuel Kaufmann, Ard Kastrati, Roger Wattenhofer, Nicolas Langer
An Interpretable and Attention-Based Method for Gaze Estimation Using Electroencephalography. MICCAI (2) (2023)
Yucheng Tang, Yipeng Hu, Jing Li, Hu Lin, Xiang Xu, Ke Huang, Hongxiang Lin
PLD-AL: Pseudo-label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images. MICCAI (2) (2023)
D. Hudson Smith, John Paul Lineberger, George H. Baker
On the Relevance of Temporal Features for Medical Ultrasound Video Recognition. MICCAI (2) (2023)
Linrui Dai, Wenhui Lei, Xiaofan Zhang
Efficient Subclass Segmentation in Medical Images. MICCAI (2) (2023)
Asif Hanif, Muzammal Naseer, Salman H. Khan, Mubarak Shah, Fahad Shahbaz Khan
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation. MICCAI (2) (2023)
Wentao Zhang, Yujun Huang, Tong Zhang, Qingsong Zou, Wei-Shi Zheng, Ruixuan Wang
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases. MICCAI (2) (2023)
Defu Yang, Hui Shen, Minghan Chen, Yitian Xue, Shuai Wang, Guorong Wu, Wentao Zhu
Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold. MICCAI (2) (2023)
Dwarikanath Mahapatra, Antonio José Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. MICCAI (2) (2023)
Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification. MICCAI (2) (2023)
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)
Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert
A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis. MICCAI (2) (2023)
Jaeung Lee, Keunho Byeon, Jin Tae Kwak
Centroid-Aware Feature Recalibration for Cancer Grading in Pathology Images. MICCAI (2) (2023)
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)
Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu
Category-Independent Visual Explanation for Medical Deep Network Understanding. MICCAI (2) (2023)
Zecheng Liu, Jia Wei, Rui Li, Jianlong Zhou
SFusion: Self-attention Based N-to-One Multimodal Fusion Block. MICCAI (2) (2023)
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)
Xierui Wang, Hanning Ying, Xiaoyin Xu, Xiujun Cai, Min Zhang
TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification. MICCAI (2) (2023)
Luisa Gallée, Meinrad Beer, Michael Götz
Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. MICCAI (2) (2023)
Xiangyi Yan, Junayed Naushad, Chenyu You, Hao Tang, Shanlin Sun, Kun Han, Haoyu Ma, James S. Duncan, Xiaohui Xie
Localized Region Contrast for Enhancing Self-supervised Learning in Medical Image Segmentation. MICCAI (2) (2023)
Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland
Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs. MICCAI (2) (2023)
Qin Zhou, Guoyan Zheng
FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-Aware Aggregation. MICCAI (2) (2023)
Yuhan Zhang, Kun Huang, Cheng Chen, Qiang Chen, Pheng-Ann Heng
SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation. MICCAI (2) (2023)
Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. MICCAI (2) (2023)
Pramit Saha, Divyanshu Mishra, J. Alison Noble
Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data. MICCAI (2) (2023)
Hang Zhang, Rongguang Wang, Renjiu Hu, Jinwei Zhang, Jiahao Li
DeDA: Deep Directed Accumulator. MICCAI (2) (2023)

volume 14221, 2023

Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part II MICCAI (2) 14221 (2023)