医学 AI

Prompt-based Dynamic Token Pruning for Efficient Segmentation of Medical Images

Pallabi Dutta, Anubhab Maity, Sushmita Mitra

机构 * Machine Intelligence Unit, Indian Statistical Institute, Kolkata（印度统计研究所马尔科夫智能单元，科利卡特） 纠错

专题命中 医学影像 ：medical image(title,abstract)；diagnosis(abstract)；分类 cs.CV

Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets

Soumen Ghosh, Christine Jestin Hannan, Rajat Vashistha, Parveen Kundu, Sandra Brosda, Lauren G. Aoude, James Lonie, Andrew Nathanson, Jessica Ng, Andrew P. Barbour, Viktor Vegh

机构 * QIMR Berghofer Medical Research Institute（昆士兰医学研究 institute） ； Australian Institute for Bioengineering and Nanotechnology（澳大利亚生物工程与纳米技术研究所） ； The University of Queensland（昆士兰大学） ； Frazer Institute（弗拉泽研究所） ； Princess Alexandra Hospital（亚历山大公主医院） ； Faculty of Health, Medicine and Behavioural Sciences（健康、医学与行为科学学院） ； School of Biomedical Sciences（生物医学科学学院） ； Uppsala University（乌普萨拉大学） ； Rohtak Nuclear Medcare Imaging Therapy and Research Center（罗塔克核医学成像治疗与研究中心） 纠错

专题命中 医学影像 ：CT(title,abstract)；分类 cs.LG、eess.IV

VR MRI Training for Adolescents: A Comparative Study of Gamified VR, Passive VR, 360° Video, and Traditional Educational Video

Yue Yang, Mengyao Guo, Yuxuan Wu, Wally Niu, Emmanuel A Corona, Bruce Daniel, Christoph Leuze, Fred Baik

专题命中 医学影像 ：MRI(title,abstract)

Comments Download our application at https://www.meta.com/experiences/stanford-mri-simulator/8205539289482347/

Imaging-spectroscopy diagnosis of the giant sloshing spiral in the Virgo cluster with the Einstein Probe Follow-up X-ray Telescope

X. Zheng, S. Jia, C. Li, Y. Chen, H. Yu, H. Feng, D. Xu, A. Liu, L. Song, C. Liu, F. Lu, S. Zhang, W. Yuan, J. Sanders, J. Wang, T. Chen, C. Cui, W. Cui, W. Feng, N. Gao, J. Guan, D. Han, D. Hou, H. Hu, M. Huang, J. Huo, C. Jin, M. Li, W. Li, Y. Liu, L. Luo, J. Ma, G. Ou, H. Pan, H. Wang, J. Wang, J. Wang, Y. Wang, J. Xu, Y. Xu, X. Yang, Y. Yang, H. Zhang, J. Zhang, M. Zhang, Z. Zhang, H. Zhao, X. Zhao, Z. Zhao, P. Zhu, Y. Zhu

专题命中 医学影像 ：diagnosis(title)

Comments 10 pages, 16 figures. Accepted for publication in A&A

Journal ref A&A 700, A248 (2025)

MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation

Dingwei Fan, Junyong Zhao, Chunlin Li, Mingliang Wang, Qi Zhu, Haipeng Si, Daoqiang Zhang, Liang Sun

专题命中 医学影像 ：CT(abstract)；diagnosis(abstract)；分类 eess.IV

Comments The manuscript has been withdrawn by the authors due to substantial revisions. A thoroughly revised version will be submitted in the future

GReAT: leveraging geometric artery data to improve wall shear stress assessment

Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink

机构 * Technical University of Munich（慕尼黑技术大学） ； Munich Center for Machine Learning（慕尼黑机器学习中心） ； Erasmus Medical Center（埃因霍温医学中心） ； University of Twente（埃因霍温大学） ； Imperial College London（伦敦帝国理工学院） 纠错

专题命中 医学影像 ：medical image(abstract)；分类 cs.CV、cs.LG

Comments (MICCAI 2025) Workshop on Shape in Medical Imaging (ShapeMI)

ModAn-MulSupCon: Modality-and Anatomy-Aware Multi-Label Supervised Contrastive Pretraining for Medical Imaging

Eichi Takaya, Ryusei Inamori

机构 * AI Lab Tohoku University Hospital（东京东北大学医院人工智能实验室） ； Department of Diagnostic Imaging Tohoku University Graduate School of Medicine（东北大学医学研究科诊断影像科） 纠错

专题命中 医学影像 ：MRI(abstract)；分类 cs.LG、eess.IV

Analise de Desaprendizado de Maquina em Modelos de Classificacao de Imagens Medicas

Andreza M. C. Falcao, Filipe R. Cordeiro

机构 * Visual Computing Lab, Departamento de Computação, Universidade Federal Rural de Pernambuco (UFRPE), Brasil（视觉计算实验室，计算机系，帕尔米科州立大学（UFRPE），巴西） 纠错

专题命中 医学影像 ：medical image(abstract)；分类 cs.CV、eess.IV

Comments Accepted at SBCAS'25. in Portuguese language

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder

Jueqi Wang, Zachary Jacokes, John Darrell Van Horn, Michael C. Schatz, Kevin A. Pelphrey, Archana Venkataraman

机构 * Department of Electrical and Computer Engineering, Boston University（波士顿大学电气与计算机工程系） ； School of Data Science, University of Virginia（弗吉尼亚大学数据科学学院） ； Department of Psychology, University of Virginia（弗吉尼亚大学心理学系） ； Departments of Computer Science and Biology, Johns Hopkins University（约翰霍普金斯大学计算机科学与生物学系） ； Department of Neurology, University of Virginia（弗吉尼亚大学神经病学系） 纠错

专题命中 医学影像 ：MRI(abstract)；分类 cs.LG、q-bio

Why Relational Graphs Will Save the Next Generation of Vision Foundation Models?

Fatemeh Ziaeetabar

机构 * Department of Computer Science, School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran（塔里斯坦大学科学学院计算机科学系） 纠错

专题命中 医学影像 ：medical image(abstract)；分类 cs.CV

EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion

Zichuan Yang, Yongzhi Wang

机构 * School of Mathematical Sciences, Tongji University（数学科学学院，同济大学） 纠错

专题命中 医学影像 ：medical image(abstract)；分类 cs.CV

Comments 8 pages, 3 figures

Decoding Gray Matter: large-scale analysis of brain cell morphometry to inform microstructural modeling of diffusion MR signals

Charlie Aird-Rossiter, Hui Zhang, Daniel C. Alexander, Derek K. Jones, Marco Palombo

专题命中 医学影像 ：MRI(abstract)

A Third-Order Gaussian Process Trajectory Representation Framework with Closed-Form Kinematics for Continuous-Time Motion Estimation

Thien-Minh Nguyen, Ziyu Cao, Kailai Li, William Talbot, Tongxing Jin, Shenghai Yuan, Timothy D. Barfoot, Lihua Xie

机构 * School of Electrical and Electronic Engineering, Nanyang Technological University（南洋理工大学电子与电气工程学院） ； Department of Electrical Engineering, Linköping University（利尔贝里大学电气工程系） ； Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen（格罗宁根大学数学、计算机科学与人工智能伯努利研究所） ； Robotic Systems Lab (RSL), ETH Zürich（苏黎世联邦理工学院机器人系统实验室） ； Autonomous Space Robotics Laboratory (ASRL), University of Toronto（多伦多大学自主空间机器人实验室） 纠错

专题命中 医学影像 ：CT(abstract)

Comments The paper is currently under review at IEEE Transactions on Robotics (T-RO). The source code has been released, and feedback is welcome