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ORCID28th MICCAI 2025: Daejeon, South Korea - Part X
- James C. Gee
, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part X. Lecture Notes in Computer Science 15969, Springer 2026, ISBN 978-3-032-05126-4
Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II)
- Xuanru Zhou, Jiarun Liu, Shoujun Yu, Hao Yang, Cheng Li, Tao Tan, Shanshan Wang:
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging. 3-12 - Yi Xiao, Jun Zhang, Cheng Chi, Chunyu Wang:
A Novel ED Triage Framework Using Conditional Imputation, Multi-scale Semantic Learning, and Cross-Modal Fusion. 13-22 - Zefeng Li, Mingyue Cui, Daosong Hu, Jin Gong, Jingchong Weng, Zeyu Zhang, Lele Tian, Mengran Li, Kai Huang:
A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images. 23-33 - Riyu Qiu, Kun Xia, Feng Gao, Shuting Yang, Du Cai, Jiacheng Wang, Yinran Chen, Liansheng Wang:
Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation. 34-44 - Runlin Huang, Hongmin Cai, Weipeng Zhuo, Shangyan Cai, Haowei Lin, Wentao Fan, Weifeng Su:
ADA: An Adaptive Augmentation Framework for Single-Source Domain Generalization in Medical Image Segmentation. 45-54 - Kunpeng Qiu, Zhiying Zhou, Yongxin Guo:
Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis. 55-65 - Surong Chu, Yan Qiang, Guohua Ji, Xueting Ren, Lijing Zhang, Baoping Jia, Yangyang Wei, Juanjuan Zhao, Shuo Li:
Anatomy-Based Self-supervised Pre-training for Scale-Robust Hierarchical Representations in Chest X-Rays. 66-76 - Qian Li, Feng Liu, Shuojue Yang, Daiyun Shen, Yueming Jin:
BCRNet: Enhancing Landmark Detection in Laparoscopic Liver Surgery via Bezier Curve Refinement. 77-87 - Zhengyang Ji, Shang Gao, Li Liu, Yifan Jia, Yutao Yue:
BioD2C: A Dual-Level Semantic Consistency Constraint Framework for Biomedical VQA. 88-97 - Changpeng Yue, Jianxiang Zhao, Chao Wang, Xinglun Zhao, Axiu Mao, Jia Hou, Chenggang Yan, Kai Zhao, Shuai Wang:
CD-PolypNet: Cross-Domain Polyp Segmentation Network with Internal Feature Distillation and Dual-Stream Boundary Focus via Large Vision Model. 98-108 - Ruibo Hou, Shurong Chai, Rahul Kumar Jain, Yinhao Li, Jiaqing Liu, Shiyu Teng, Xiaoyu Shi, Lanfen Lin, Yen-Wei Chen:
Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction. 109-118 - Jens D. Winne, Siri Willems, Siri Luthman, Danilo Babin, Hiêp Quang Luong, Wim Ceelen:
Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging. 119-126 - Chengkun Li, Yuqi Tong, Kai Chen, Zhenya Yang, Ruiyang Li, Shi Qiu, Jason Ying-Kuen Chan, Pheng-Ann Heng, Qi Dou:
ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data. 127-137 - Joshua Scheuplein, Maximilian Rohleder, Andreas K. Maier, Björn W. Kreher:
DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging. 138-148 - Xiaoyan Hong, Jiansong Fan, Zhaohong Deng, Xiang Pan:
Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation. 149-158 - Wenbin Wu, Yifan Gao, Yixiu Wang, Jiayi Zhang, Yiming Zhao, Xin Gao:
EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds. 159-168 - Xinyu Liu, Hengyu Liu, Cheng Wang, Tianming Liu, Yixuan Yuan:
EndoGen: Conditional Autoregressive Endoscopic Video Generation. 169-179 - Raúl Iranzo, Victor M. Batlle, Juan D. Tardós, José M. M. Montiel:
EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy. 180-190 - Zhangyuan Yu, Chenlin Du, Hongrui Liang, Xiuqi Zheng, Zeyao Ma, Mingjun Wu, Mingwu Ao, Qicheng Lao:
Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation. 191-201 - Zhisong Wang, Yiwen Ye, Ziyang Chen, Yong Xia:
Enjoying Information Dividend: Gaze Track-Based Medical Weakly Supervised Segmentation. 202-212 - Jungwook Lee, Xuanang Xu, Daeseung Kim, Tianshu Kuang, Hannah H. Deng, Xinrui Song, Yasmine Soubra, Rohan Dharia, Michael A. K. Liebschner, Jaime Gateno, Pingkun Yan:
Facial Appearance Prediction with Conditional Multi-scale Autoregressive Modeling for Orthognathic Surgical Planning. 213-223 - Abhishek Viswanathan, A. N. Rajagopalan, Nikhil Yelamarthy, Ankit Rai, Pradeep Ramachandran:
Guided Augmentation for Monocular Depth Estimation in Cell Microscopy. 224-234 - Bidur Khanal, Sandesh Pokhrel, Sanjay Bhandari, Ramesh Rana, Nikesh Shrestha, Ram Bahadur Gurung, Cristian A. Linte, Angus Watson, Yash Raj Shrestha, Binod Bhattarai:
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models. 235-245 - Jianye Wang, Xinyue Liu, Zhiying Gong, Lingjie Yang, Hanwen Zhang, Yu Long, Yimeng Fan, Yuncheng Jiang, Xiaohui Duan, Weibing Zhao:
HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-modal, Multi-temporal, and Multi-sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma. 246-255 - Guoqing Zhang, Jingyun Yang, Yang Li:
Hierarchical Feature Learning for Medical Point Clouds via State Space Model. 256-265 - Xincheng Yao, Yijun Yang, Kangwei Guo, Ruiqiang Xiao, Haipeng Zhou, Haisu Tao, Jian Yang, Lei Zhu:
HRVVS: A High-Resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors. 266-276 - Yueyue Zhu, Haolin Lv, Geng Chen, Zhonghao Zhang, Haotian Jiang, Yong Xia:
Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation. 277-286 - Tianyu Song, Feng Li, Yuan Bi, Angelos Karlas, Amir Yousefi, Daniela Branzan, Zhongliang Jiang, Ulrich Eck, Nassir Navab:
Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication. 287-297 - Hongsheng Zhang, Yuting Duan, Ting Liu, Weifeng Zhang, Hongzhong Tang:
KMUNet: A Novel Medical Image Segmentation Model Based on KAN and Mamba. 298-307 - Mert Asim Karaoglu, Wenbo Ji, Ahmed Abbas, Nassir Navab, Benjamin Busam, Alexander Ladikos:
LiteTracker: Leveraging Temporal Causality for Accurate Low-Latency Tissue Tracking. 308-317 - Mingcheng Qu, Guang Yang, Donglin Di, Yue Gao, Tonghua Su, Yang Song, Lei Fan:
Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning. 318-327 - Ming Yin, Fu Wang, Xujiong Ye, Yanda Meng, Zeyu Fu:
Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation. 328-337 - Till N. Schnabel, Yoriko Lill, Benito K. Benitez, Gaspard Krief, Sebastián Tapia Corón, Friederike Prüfer, Philipp Metzler, Andreas A. Mueller, Markus Gross, Barbara Solenthaler:
Multi-linear 3D Craniofacial Infant Shape Model. 338-348 - Anju Chhetri, Jari Korhonen, Prashnna K. Gyawali, Binod Bhattarai:
NERO: Explainable Out-of-Distribution Detection with Neuron-Level Relevance in Gastrointestinal Imaging. 349-359 - Linxuan Han, Sa Xiao, Muhong Li, Jinghan Liu, Xin Zhou:
Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129Xe Lung MRI Generation. 360-369 - Yuna Kato, Shohei Mori, Hideo Saito, Yoshifumi Takatsume, Hiroki Kajita, Mariko Isogawa:
Occlusion-Free 4D Gaussians for Open Surgery Videos Using Multi-camera Shadowless Lamps. 370-380 - Youjin Kim, Jae Yong Lee, Junseok Kwon:
Physics-Informed Neural Operators for Tissue Elasticity Reconstruction. 381-390 - Joanna Kaleta, Weronika Smolak-Dyzewska, Dawid Malarz, Diego Dall'Alba, Przemyslaw Korzeniowski, Przemyslaw Spurek:
PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy. 391-401 - Fenghe Tang, Wenxin Ma, Zhiyang He, Xiaodong Tao, Zihang Jiang, Shaohua Kevin Zhou:
Pre-trained LLM is a Semantic-Aware and Generalizable Segmentation Booster. 402-412 - Xiaoyu Tan, Bin Li, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi, Xihe Qiu:
Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support. 413-423 - Miao Xu, Xiangyu Zhu, Jinlin Wu, Ming Feng, Zelin Zang, Hongbin Liu, Zhen Lei:
Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes. 424-434 - Haofeng Liu, Mingqi Gao, Xuxiao Luo, Ziyue Wang, Guanyi Qin, Junde Wu, Yueming Jin:
ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-Term Tracking. 435-445 - Shawn Mathew, Saad Nadeem, Arie E. Kaufman:
RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches. 446-455 - Shaobin Chen, Xinyu Zhao, Huazhu Fu, Tao Tan, Jiaju Huang, Xiangyu Xiong, Zhenquan Wu, Behdad Dashtbozorg, Baiying Lei, Guoming Zhang, Yue Sun:
SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis. 456-466 - Bohao Chen, Yanchao Zhang, Yanan Lv, Hua Han, Xi Chen:
Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation. 467-477 - Yiping Li, Ronald L. P. D. de Jong, Sahar Nasirihaghighi, Tim J. M. Jaspers, Romy C. van Jaarsveld, Gino M. Kuiper, Richard van Hillegersberg, Fons van der Sommen, Jelle P. Ruurda, Marcel Breeuwer, Yasmina Al Khalil:
SemiVT-Surge: Semi-supervised Video Transformer for Surgical Phase Recognition. 478-488 - Yaru Qiu, Xinru Wang, Jianfang Zhang, Bo Liu, Peng Bai, Yuanyuan Sun:
SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views. 489-498 - Jialu Li, Hongqiu Wang, Weiming Wang, Jing Qin, Qiong Wang, Lei Zhu:
Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation. 499-509 - Xixi Jiang, Chen Yang, Liang Zhang, Tim Kwang-Ting Cheng, Xin Yang:
SR-SAM: Subspace Regularization for Domain Generalization of Segment Anything Model. 510-520 - Tong Chen, Shuya Yang, Junyi Wang, Long Bai, Hongliang Ren, Luping Zhou:
SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation. 521-531 - Ka Young Kim, Hyeon Bae Kim, Seong Tae Kim:
SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition. 532-542 - Luca Parolari, Andrea Cherubini, Lamberto Ballan, Carlo Biffi:
Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy. 543-553 - Xinyu Li, Jin Liu, Hulin Kuang, Yuanzhuo Wang, Jianxin Wang:
Tetra-Orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading. 554-564 - Runtian Yuan, Ling Zhou, Jilan Xu, Qingqiu Li, Mohan Chen, Yuejie Zhang, Rui Feng, Tao Zhang, Shang Gao:
TGSAM-2: Text-Guided Medical Image Segmentation Using Segment Anything Model 2. 565-574 - Tuo Liu, Qinghan Yang, Yu Zhang, Rongjun Ge, Yang Chen, Guangquan Zhou:
Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines. 575-584 - Ruize Cui, Jiaan Zhang, Jialun Pei, Kai Wang, Pheng-Ann Heng, Jing Qin:
Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection. 585-594 - Wenhao Ding, Kangjun Ji, Simão Castro, Yihao Luo, Dylan Roi, Choon Hwai Yap:
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning. 595-604 - Yujia Li, Tao Zhou, Ruixuan Wang, Shuo Wang, Yizhe Zhang:
Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos Using Spatiotemporal Consistency. 605-614 - Pengcheng Zhang, Xiaocao Ouyang, Ran Peng:
UWT-Net: Mining Low-Frequency Feature Information for Medical Image Segmentation. 615-624 - Dongdong He, Fang Ma, Ziteng Liu, Xunhai Yin, Hao Liu, Wenpeng Gao, Chenghong Zhang, Yili Fu:
WDNet: A Novel Wavelet-Guided Hierarchical Diffusion Network for Multi-target Segmentation in Colonoscopy Images. 625-635
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