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Publication search results
found 76 matches
- 2023
- Tomer Amit, Shmuel Shichrur, Tal Shaharabany, Lior Wolf:
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models. MICCAI (4) 2023: 544-554 - Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert:
NISF: Neural Implicit Segmentation Functions. MICCAI (4) 2023: 734-744 - Hritam Basak, Zhaozheng Yin:
Semi-supervised Domain Adaptive Medical Image Segmentation Through Consistency Regularized Disentangled Contrastive Learning. MICCAI (4) 2023: 260-270 - Sutanu Bera, Vinay Ummadi, Debashis Sen, Subhamoy Mandal, Prabir Kumar Biswas:
Memory Replay for Continual Medical Image Segmentation Through Atypical Sample Selection. MICCAI (4) 2023: 513-522 - Yuan Bi, Zhongliang Jiang, Ricarda Clarenbach, Reza Ghotbi, Angelos Karlas, Nassir Navab:
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization. MICCAI (4) 2023: 130-140 - Malo de Boisredon, Eugene Vorontsov, Samuel Kadoury:
M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision. MICCAI (4) 2023: 141-151 - Ziyang Chen, Yongsheng Pan, Yiwen Ye, Hengfei Cui, Yong Xia:
Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation. MICCAI (4) 2023: 89-99 - Tao Chen, Chenhui Wang, Hongming Shan:
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation. MICCAI (4) 2023: 491-501 - Tao Chen, Yitian Zhao, Lei Mou, Dan Zhang, Xiayu Xu, Mengting Liu, Huazhu Fu, Jiong Zhang:
RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization. MICCAI (4) 2023: 163-172 - Hyuna Cho, Yubin Han, Won Hwa Kim:
Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation. MICCAI (4) 2023: 555-566 - G. Jignesh Chowdary, Zhaozheng Yin:
Diffusion Transformer U-Net for Medical Image Segmentation. MICCAI (4) 2023: 622-631 - Zhiwei Deng, Songnan Xu, Jianwei Zhang, Jiong Zhang, Danny J. J. Wang, Lirong Yan, Yonggang Shi:
Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention. MICCAI (4) 2023: 354-363 - Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets. MICCAI (4) 2023: 448-458 - Santiago Gómez, Daniel Mantilla, Brayan Valenzuela, Andres Ortiz, Daniela D. Vera, Paúl Camacho, Fabio Martínez:
Ischemic Stroke Segmentation from a Cross-Domain Representation in Multimodal Diffusion Studies. MICCAI (4) 2023: 776-785 - Yufan He, Vishwesh Nath, Dong Yang, Yucheng Tang, Andriy Myronenko, Daguang Xu:
SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation. MICCAI (4) 2023: 416-426 - Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen:
TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation. MICCAI (4) 2023: 206-215 - Xinrong Hu, Yu-Jen Chen, Tsung-Yi Ho, Yiyu Shi:
Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation. MICCAI (4) 2023: 756-765 - Shishuai Hu, Zehui Liao, Yong Xia:
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation. MICCAI (4) 2023: 14-23 - Amith Kamath, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes:
Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity. MICCAI (4) 2023: 302-311 - Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan:
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection. MICCAI (4) 2023: 600-610 - Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Certification of Deep Learning Models for Medical Image Segmentation. MICCAI (4) 2023: 611-621 - Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. MICCAI (4) 2023: 632-641 - Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz:
Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) 2023: 67-77 - Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Transformer-Based Annotation Bias-Aware Medical Image Segmentation. MICCAI (4) 2023: 24-34 - Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu:
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. MICCAI (4) 2023: 642-651 - Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen:
Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation. MICCAI (4) 2023: 56-66 - Lian Liu, Han Zhou, Jiongquan Chen, Sijing Liu, Wenlong Shi, Dong Ni, Deng-Ping Fan, Xin Yang:
Instructive Feature Enhancement for Dichotomous Medical Image Segmentation. MICCAI (4) 2023: 437-447 - Wenjing Lu, Jiahao Lei, Peng Qiu, Rui Sheng, Jinhua Zhou, Xinwu Lu, Yang Yang:
UPCoL: Uncertainty-Informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation. MICCAI (4) 2023: 662-672 - Tianxu Lv, Yuan Liu, Kai Miao, Lihua Li, Xiang Pan:
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI. MICCAI (4) 2023: 100-109 - Junyan Lyu, Pengxiao Xu, Fatima A. Nasrallah, Xiaoying Tang:
Learning Ontology-Based Hierarchical Structural Relationship for Whole Brain Segmentation. MICCAI (4) 2023: 385-394
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