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ORCID28th MICCAI 2025: Daejeon, South Korea - Part XI
- 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 XI. Lecture Notes in Computer Science 15970, Springer 2026, ISBN 978-3-032-05140-0
Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III)
- Zixin Tang, Caiwen Jiang, Zhiming Cui, Dinggang Shen:
A New Paradigm for Low-Dose PET/CT Reconstruction with Mamba-Powered Progressive Network and Physics-Informed Consistency. 3-12 - Zhijian Wu, Hong Wang, Yuxuan Shi, Dingjiang Huang, Yefeng Zheng:
A Prior-Driven Lightweight Network for Endoscopic Exposure Correction. 13-23 - Soham Walimbe, Britty Baby, Vinkle Srivastav, Nicolas Padoy:
Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision. 24-33 - Diego Bravo, Josué Ruano, Martín Gómez, Fabio A. González, Eduardo Romero:
Automated Auditing of Upper Endoscopy Procedure Times: A Temporal Multiclass Analysis. 34-43 - Maximilian Fehrentz, Alexander Winkler, Thomas Heiliger, Nazim Haouchine, Christian Heiliger, Nassir Navab:
BridgeSplat: Bidirectionally Coupled CT and Non-rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation. 44-53 - Chiara Baldini, Kaisar Kushibar, Richard Osuala, Simone Balocco, Oliver Díaz, Karim Lekadir, Leonardo S. Mattos:
Clinically-Guided Data Synthesis for Laryngeal Lesion Detection. 54-63 - Yi Wu, Yuhang Chen, Jiahao Cui, Jiaji Liu, Lin Liang, Shuai Li:
Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features. 64-73 - Junjie Shentu, Matthew Watson, Noura Al Moubayed:
DiDGen: Diffusion-Based Dual-Task Synthesis for Dermoscopic Data Generation. 74-84 - Leonard Klausmann, Tobias Rueckert, David Rauber, Raphaela Maerkl, Suemeyye R. Yildiran, Max Gutbrod, Christoph Palm:
DIY Challenge Blueprint: From Organization to Technical Realization in Biomedical Image Analysis. 85-95 - Siqi Wang, Qingxue Zhao, Di Wu, Jiakang Gao, Jun Tian:
DyMAS-Net: Dynamic Multi-scale Adaptive Sampling Network for Efficient Medical Image Segmentation. 96-105 - Yili He, Yan Zhu, Peiyao Fu, Ruijie Yang, Tianyi Chen, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang:
Endo-CLIP: Progressive Self-supervised Pre-training on Raw Colonoscopy Records. 106-116 - Mona Sheikh Zeinoddin, Mobarak I. Hoque, Zafer Tandogdu, Greg Shaw, Matthew J. Clarkson, Evangelos B. Mazomenos, Danail Stoyanov:
Endo-FASt3r: Endoscopic Foundation Model Adaptation for Structure from Motion. 117-126 - Thatphum Paonim, Chayapon Sasnarukkit, Natawut Nupairoj, Peerapon Vateekul:
EndoPlanar: Deformable Planar-Based Gaussian Splatting for Surgical Scene Reconstruction. 127-136 - Xiang Deng, Xing Liu, Tian Xu, Xiaoyue Liu, Tianyuan Gan, Chen Lu, Congcong Zhou, Peng Wang, Yong Lei, Xuesong Ye:
Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-Streamed Multi-scale Fusion. 137-146 - Zixun Yin, Da Zou, Yi Zhao, Chenbin Zhang, Weishi Li, Minghui Wu, Kun Yan, Ping Wang:
Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT. 147-156 - Raneem Toman, Venkataraman Subramanian, Sharib Ali:
ESPNet: Edge-Aware Feature Shrinkage Pyramid for Polyp Segmentation. 157-167 - Kazuki Suehara, Yi Gu, Yoshito Otake, Keisuke Uemura, Masashi Okamoto, Kunihiko Tokunaga, Hugues Talbot, Yoshinobu Sato:
Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-Ray Imaging System. 168-177 - Rupak Bose, Chinedu Innocent Nwoye, Jorge F. Lazo, Joël L. Lavanchy, Nicolas Padoy:
Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery. 178-188 - Yingcheng Liu, Peiqi Wang, Sebastian Diaz, Esra Abaci Turk, Benjamin Billot, Patricia Ellen Grant, Polina Golland:
Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose. 189-198 - Jin Ye, Yanzhou Su, Yicheng Wu, Junjun He, Bohan Zhuang, Zhaolin Chen, Jianfei Cai:
FPN-in-FPN: A Nested Multi-scale Aggregation Network for Polyp Segmentation. 199-208 - Jumanh Atoum, Fangjie Li, Ayberk Acar, Nicholas L. Kavoussi, Jie Ying Wu:
From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training. 209-218 - Guiqiu Liao, Matjaz Jogan, Marcel Hussing, Edward Zhang, Eric Eaton, Daniel A. Hashimoto:
Future Slot Prediction for Unsupervised Object Discovery in Surgical Video. 219-229 - Zhaoyi Ye, Shubin Wei, Liye Mei, Yueyun Weng, Qing Geng, Du Wang, Cheng Lei:
FViM: Frequency Vision Mamba for Label-Free Cell Death Pathway Prediction in Lung Cancer Chemotherapy. 230-239 - Hongmin Cai, Boan Ji, Shangyan Cai, Yi Liao, Jiazhou Chen, Weitian Huang:
GE2Hist: Generating Histology Images from Single-Cell Gene Expression via Cross-Modal Generative Network. 240-250 - Qiang Hu, Qimei Wang, Jia Chen, Xuantao Ji, Mei Liu, Qiang Li, Zhiwei Wang:
Holistic White-Light Polyp Classification via Alignment-Free Dense Distillation of Auxiliary Optical Chromoendoscopy. 251-261 - Ankit Amrutkar, Ahmet Nazlioglu, Björn Kampa, Volkmar Schulz, Johannes Stegmaier, Markus Rothermel, Dorit Merhof:
HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography. 262-272 - Jiaming Liang, Lihuan Dai, Xiaoqi Sheng, Xiangguang Chen, Chun Yao, Guihua Tao, Qibin Leng, Hongmin Cai, Xi Zhong:
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation. 273-282 - Junze Wang, Lei Fan, Weipeng Jing, Donglin Di, Yang Song, Sidong Liu, Cong Cong:
Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities. 283-293 - Tao Jin, Yidan Xu, Yuhan Gao, Xichun Sheng, Chenggang Yan, Yaoqi Sun, Xiangmin Han, Yue Gao:
Hypergraph-Guided Federated Distillation Learning for Efficient and Robust Multi-center fMRI Data Analysis. 294-303 - Chun-Wun Cheng, Yining Zhao, Yanqi Cheng, Javier A. Montoya-Zegarra, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation. 304-314 - Miguel Luna, John Baek, Won Hwa Kim, Wan Gyu Son, Kwang Min Lee, Hye Jung Kim, Jaeil Kim:
Improved Tumor Segmentation Using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI. 315-324 - Songtao Jiang, Yuxi Chen, Sibo Song, Yan Zhang, Yeying Jin, Yang Feng, Jian Wu, Zuozhu Liu:
Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning. 325-335 - Xingcan Hu, Wei Wang, Li Xiao:
Learning 3D Medical Image Models from Brain Functional Connectivity Network Supervision for Mental Disorder Diagnosis. 336-346 - Jueqi Wang, Zachary J. Jacokes, John Darrell Van Horn, Michael C. Schatz, Kevin A. Pelphrey, Archana Venkataraman:
Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder. 347-357 - Farahdiba Zarin, Riccardo Oliva, Vinkle Srivastav, Armine Vardazaryan, Andrea Rosati, Alice Zampolini Faustini, Giovanni Scambia, Anna Fagotti, Pietro Mascagni, Nicolas Padoy:
Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment. 358-368 - Davide Evangelista, Elena Morotti, Sonia Colombo Serra, Pengpeng Luo, Giovanni Valbusa, Davide Bianchi:
LIP-CAR: A Learned Inverse Problem Approach for Medical Imaging with Contrast Agent Reduction. 369-379 - Tapas Kumar Dutta, Snehashis Majhi, Deepak Ranjan Nayak, Debesh Jha:
Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation. 380-391 - WeiLong Wu, Jingzhi Yang, Xun Zhu, Xiao Zhang, ZiYu Liu, Miao Li, Ji Wu:
Medical Contrastive Learning of Positive and Negative Mentions. 392-401 - Chenyang Su, Yishun Wang, Boqiang Xu, Rong Feng, Lei Du, Hongbin Liu, Gaofeng Meng:
MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery. 402-411 - Danush Kumar Venkatesh, Isabel Funke, Micha Pfeiffer, Fiona R. Kolbinger, Hanna Maria Schmeiser, Marius Distler, Jürgen Weitz, Stefanie Speidel:
Mission Balance: Generating Under-Represented Class Samples Using Video Diffusion Models. 412-422 - Britty Baby, Vinkle Srivastav, Pooja P. Jain, Kun Yuan, Pietro Mascagni, Nicolas Padoy:
Multi-modal Representations for Fine-Grained Multi-Label Critical View of Safety Recognition. 423-432 - Ayberk Acar, Jumanh Atoum, Peter S. Connor, Clifford Pierre, Carisa N. Lynch, Nicholas L. Kavoussi, Jie Ying Wu:
NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery. 433-443 - Jaume Banus, Antoine Delaloye, Pedro M. Gordaliza, Costa Georgantas, Ruud B. van Heeswijk, Jonas Richiardi:
NIMOSEF: Neural Implicit Motion and Segmentation Functions. 444-454 - Renyu Fu, Shurui Hu, Xiao Zheng, Chang Tang, Xinwang Liu:
PolyMamba: Spatial-Prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement. 455-465 - Anwesa Choudhuri, Zhongpai Gao, Meng Zheng, Benjamin Planche, Terrence Chen, Ziyan Wu:
PolypSegTrack: Unified Foundation Model for Colonoscopy Video Analysis. 466-476 - Maik Dannecker, Daniel Rueckert:
Predicting Longitudinal Brain Development via Implicit Neural Representations. 477-487 - Murali Krishnamoorthy, Haoyin Zhou, Katherine Frazee, Rahul Pal, Jayender Jagadeesan, Anand T. N. Kumar:
Real-Time SLAM-Based Correction and 3D Visualization for Fluorescence Lifetime Imaging. 488-497 - Ningyi Zhang, Yuan Gao, Xin Wang, Ka-Hou Chan, Jian Wu, Chan-Tong Lam, Shanshan Wang, Yue Sun, Sio Kei Im, Tao Tan:
RefineNet: Elevating Medical Foundation Models Through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation. 498-508 - Baptiste Podvin, Toby Collins, Güinther Saibro, Chiara Innocenzi, Yuchuan Yang, Flavio Milana, Yvonne Keeza, Grace Ufitinema, Florien Ujemurwego, Guido Torzilli, Jacques Marescaux, Daniel George, Alexandre Hostettler:
SAMUSA: Segment Anything Model 2 for UltraSound Annotation. 509-518 - Chanyeong Heo, Jaehee Jung:
Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization. 519-529 - Huaqiang Su, Zaiyi Liu, Lisha Yao, Sunyun Li, Hun Lin, Guoliang Chen, Xin Chen, Haijun Lei, Baiying Lei:
Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks. 530-540 - Wenbo Li, Zhenxing Huang, Lianghua Li, Chunyan Yang, Yihan Wang, Wenjian Qin, Na Zhang, Hairong Zheng, Dong Liang, Jianjun Liu, Zhanli Hu:
STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-Body PET/CT Imaging via Contrastive Learning. 541-551 - Mohammad Mahdi Kalantari, Erol Ozgur, Mohammad Alkhatib, Navid Rabbani, Yamid Espinel, Richard Modrzejewski, Bertrand Le Roy, Emmanuel Buc, Youcef Mezouar, Adrien Bartoli:
Stronger Together: Registering Preoperative Imagery, LUS, and MIS Liver Images. 552-561 - Hao Fang, Zhuo Zeng, Jianwei Yang, Wenkang Fan, Xiongbiao Luo:
Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation. 562-571 - Jialei Chen, Xin Zhang, Mobarak I. Hoque, Francisco Vasconcelos, Danail Stoyanov, Daniel S. Elson, Baoru Huang:
SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction. 572-582 - Jiansong Fan, Yicheng Di, Jiayu Bao, Lihua Li, Xiang Pan:
Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images. 583-592 - Quan Zhou, Gan Luo, Qiang Hu, Qingyong Zhang, Jinhua Zhang, Yinjiao Tian, Qiang Li, Zhiwei Wang:
Targeted False Positive Synthesis via Detector-Guided Adversarial Diffusion Attacker for Robust Polyp Detection. 593-602 - Muhammad Dawood, Emily Thomas, Rosalin Cooper, Carlo Pescia, Anna Sozanska, Hosuk Ryou, Daniel Royston, Jens Rittscher:
Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints. 603-612 - Hongbo Ye, Fenghe Tang, Peiang Zhao, Zhen Huang, Dexin Zhao, Minghao Bian, Shaohua Kevin Zhou:
U-RWKV: Lightweight Medical Image Segmentation with Direction-Adaptive RWKV. 613-623 - Peng Huang, Junhu Fu, Bowen Guo, Zeju Li, Yuanyuan Wang, Yi Guo:
VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation. 624-633
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