Medical Image Computing and Computer-Assisted Intervention
MICCAI
A
CORE rank
CORE rank (raw)
A
Fields of research
Applied Computing · Computer Vision and Multimedia Computation
Papers indexed
15,765
1998–2025
Papers per year
19981,874 peak2025
Most published authors
MICCAI papers
15,765 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control. | Wenwen Si, Vivian Lin, Bo Sun, Kuk Jin Jang, Rubo Xing, Almiqdad Saeed, Rina Nagatani, Oleg Sokolsky, Insup Lee, Lama Al-Aswad |
| 2025 | Resource-Efficient Glioma Segmentation on Sub-Saharan MRI. | Freedmore Sidume, Oumayma Soula, Joseph Muthui Wacira, YunFei Zhu, Abbas Rabiu Muhammad, Abderrazek Zeraii, Oluwaseun Kalejaye, Hajer Ibrahim, Olfa Gaddour, Brian Halubanza, Dong Zhang, Udunna C. Anazodo, Raymond Confidence |
| 2025 | LiMSA-UNet: A Lightweight Modality-Selective Attention ResUNet for Brain-Tumor Segmentation. | Freedmore Sidume, Nkuebe Clement Moleko, Botsile Gorata Masalela, Preference Mangwayana, Lame Kaisara, Refilwe Goitsemang, Topo Lefika Rapula, Dong Zhang, Aondona M. Iorumbur, Raymond Confidence |
| 2025 | Evaluation of Deformable Image Registration Under Alignment-Regularity Trade-Off. | Vasiliki Sideri-Lampretsa, Daniel Rueckert, Huaqi Qiu |
| 2025 | Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis. | Shelley Zixin Shu, Haozhe Luo, Alexander Poellinger, Mauricio Reyes |
| 2025 | Various Attention Mechanism Graph Convolutional Network with Multi-source Domain Adaptation for Cross-Subject EEG Emotion Recognition. | Shuo Shi, Xulei Zheng, Taiyi Wu, Xiaoke Hao |
| 2025 | Frequency-Enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation. | Jian Shi, Tianqi You, Pingping Zhang, Hongli Zhang, Rui Xu, Haojie Li |
| 2025 | MedM-VL: What Makes a Good Medical LVLM? | Yiming Shi, Shaoshuai Yang, Xun Zhu, Haoyu Wang, Xiangling Fu, Miao Li, Ji Wu |
| 2025 | FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities. | Yukun Shi, Meiting Xue, Yan Zeng, Jilin Zhang, Jian Wan, Ye Zhou |
| 2025 | Generating Synthetic Contrast-Enhanced Chest CT Images from Non-contrast Scans Using Slice-Consistent Bridge Diffusion Network. | Pouya Shiri, Xin Yi, Neel P. Mistry, Samaneh Javadinia, Mohammad Chegini, Seok-Bum Ko, Amirali Baniasadi, Scott J. Adams |
| 2025 | MadCLIP: Few-Shot Medical Anomaly Detection with CLIP. | Mahshid Shiri, Cigdem Beyan, Vittorio Murino |
| 2025 | Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrdinger Bridge. | Ke Shi, Song Ouyang, Gang Liu, Yong Luo, Kehua Su, Zhiwen Liang, Bo Du |
| 2025 | DeformMLP: Effective Deformation Prediction for Breast Cancer Using Graph Topology-Assisted MLPs. | Yong-Min Shin, Kyunghyun Lee, Sunghwan Lim, Kyungho Yoon, Won-Yong Shin |
| 2025 | Towards Holistic Surgical Scene Graph. | Jongmin Shin, Enki Cho, Ka Young Kim, Jung Yong Kim, Seong Tae Kim, Namkee Oh |
| 2025 | Physics-Driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis. | Yejee Shin, Yunsu Byeon, Geonhui Son, Hanbyol Jang, Dosik Hwang, Sewon Kim |
| 2025 | End-to-End 3D Tooth Landmark Detection with Fuzzy Tooth Localization. | Kaibo Shi, Hairong Jin, Youyi Zheng |
| 2025 | TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration. | Xiaoyu Shi, Rahul Kumar Jain, Yinhao Li, Ruibo Hou, Jingliang Cheng, Jie Bai, Guohua Zhao, Lanfen Lin, Rui Xu, Yen-Wei Chen |
| 2025 | BrainAlign: EEG-Vision Alignment via Frequency-Aware Temporal Encoder and Differentiable Cluster Assigner. | Enze Shi, Huawen Hu, Qilong Yuan, Kui Zhao, Sigang Yu, Shu Zhang |
| 2025 | Graph-Based LLM over Semi-Structured Population Data for Dynamic Policy Response. | Daqian Shi, Xiaolei Diao, Jinge Wu, Honghan Wu, Xiongfeng Tang, Felix Naughton, Paulina Bondaronek |
| 2025 | DiDGen: Diffusion-Based Dual-Task Synthesis for Dermoscopic Data Generation. | Junjie Shentu, Matthew Watson, Noura Al Moubayed |
| 2025 | Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification. | Xing Shen, Justin Szeto, Mingyang Li, Hengguan Huang, Tal Arbel |
| 2025 | Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins. | Yiqing Shen, Chenjia Li, Bohan Liu, Cheng-Yi Li, Tito Porras, Mathias Unberath |
| 2025 | Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction. | Yiqing Shen, Chenjia Li, Chenxiao Fan, Mathias Unberath |
| 2025 | Interpretable fMRI Captioning via Contrastive Learning. | Vyacheslav Shen, Kassymzhomart Kunanbayev, Donggon Jang, Daeshik Kim |
| 2025 | Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening. | Xicheng Sheng, Yang Zhang, Lei Li, Bailiang Chen, Freddy Odille, Xiahai Zhuang |
576–600 of 15,765← PreviousNext →
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