医学 AI

Group-Patch Joint Compression: Compressing Dynamic B0 and Static RF Spatial Modulations Across k-Space Subregion Groups for Highly Accelerated MRI

组块联合压缩用于高加速MRI：在k空间子区域组内压缩动态B0和静态RF空间调制

Rui Tian, Klaus Scheffler

专题命中 医学影像 ：MRI(title,title_cn)

AI总结 本文提出组块联合压缩方法，通过在k空间子区域组内压缩动态B0和静态RF调制，显著提升MRI加速效果，减少重建时间和内存使用。

Comments Magnetic Resonance in Medicine

Journal ref R. Tian and K. Scheffler, Group-Patch Joint Compression: Compressing Dynamic B0 and Static RF Spatial Modulations Across k-Space Subregion Groups for Highly Accelerated MRI, Magnetic Resonance in Medicine (2026): 1-21

Generation of synthetic CT images from optical scanning for superficial mold brachytherapy

基于光学扫描的表浅模具近距离治疗合成CT图像生成

Scott B. Crowe, Emily Simpson-Page, Jenna Luscombe, Rachael Wilks, Tanya Kairn

专题命中 医学影像 ：CT(title,title_cn)；biomedical(comments)

AI总结 提出利用光学3D扫描数据生成合成CT图像，结合3D建模和商业治疗计划系统，实现表浅近距离治疗模具的导管定位和剂量优化，无需内部解剖信息。

Comments 8 pages, 3 figures, accepted for publication in the IFMBE Proceedings on the World Congress on Medical Physics and Biomedical Engineering 2022

A primal-dual hybrid gradient method for non-linear operators with applications to MRI

非线性算子的对偶-混合梯度方法及其在MRI中的应用

Tuomo Valkonen

专题命中 医学影像 ：MRI(title,title_cn)

AI总结 本文提出一种改进的对偶-混合梯度方法，用于求解非线性算子的极小极大问题，应用于MRI中的扩散张量成像和MR速度成像，展示了方法的高效性。

Journal ref T. Valkonen, A primal-dual hybrid gradient method for non-linear operators with applications to MRI, Inverse Problems 30 (2014), 055012

Gradient Step Plug-and-Play Model for Dental Cone-Beam CT Reconstruction

梯度步进即插即用模型用于牙科锥束CT重建

Idris Tatachak, Luis Kabongo, Nicolas Papadakis, Xavier Ripoche, Simon Rit

机构 * INSA‐Lyon, Universite Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294（INSA-里昂、 Claude Bernard 里昂大学、 CNRS、 Inserm、 CREATIS UMR 5220、 U1294） ； Univ. Bordeaux, CNRS, Inria, Bordeaux INP, IMB, UMR 5251（波尔多大学、 CNRS、 Inria、 Bordeaux INP、 IMB、 UMR 5251） ； ACTEON Group, France（ACTEON集团，法国） 纠错

专题命中 医学影像 ：CT(title,title_cn)

AI总结 提出一种基于梯度步进去噪器的即插即用算法，通过模拟扇形束采集并添加光子噪声训练先验，有效减少牙科锥束CT重建中的光子噪声。

Comments CT Meeting 2026 - 9th International Conference on Image Formation in X-Ray Computed Tomography, Jun 2026, Salt lake City, United States

Multiparametric MRI Radiomics and Machine Learning Framework for Predicting Treatment Response in Glioblastoma

用于预测胶质母细胞瘤治疗反应的多参数MRI放射组学与机器学习框架

Suchibrata Patra

专题命中 医学影像 ：MRI(title,title_cn)；分类 q-bio

AI总结 本研究构建结合多参数MRI放射组学与MGMT状态的随机森林模型，实现胶质母细胞瘤放化疗后真性进展与假性进展的无创精准区分，性能优于多种对照方法。

Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images

肿瘤感知增强与任务引导注意力分析提高磁共振图像直肠癌分割

Aneesh Rangnekar, Joao Miranda, Natally Horvat, Stephanie Chahwan, Samir Alrayess, Aditya Apte, Aditi Iyer, Eve LoCastro, Revathi Ravella, Marc J Gollub, Iva Petkovska, Jesse Joshua Smith, Paul Romesser, Julio Garcia-Aguilar, Harini Veeraraghavan, Joseph O. Deasy

机构 * Department of Medical Physics, Memorial Sloan Kettering Cancer Center（医学物理系，纪念斯隆凯特琳癌症中心） ； Department of Radiology, Memorial Sloan Kettering Cancer Center（放射学系，纪念斯隆凯特琳癌症中心） ； Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center（放射肿瘤学系，纪念斯隆凯特琳癌症中心） ； Department of Surgery, Memorial Sloan Kettering Cancer Center（外科系，纪念斯隆凯特琳癌症中心） ； Department of Medicine, Memorial Sloan Kettering Cancer Center（医学系，纪念斯隆凯特琳癌症中心） 纠错

专题命中 医学影像 ：MRI(summary_cn,abstract)；CT(summary_cn,abstract)；分类 cs.CV、eess.IV

AI总结 本文通过肿瘤感知增强和任务引导注意力分析，改进CT到MRI的直肠癌分割，验证了预训练模型在跨模态转移中的局限性，并提出了缓解策略以提升鲁棒性。

NGPS: Structure-Preserving Self-Supervised Denoising via Neighbor-Guided Patch Sampling

NGPS：基于邻域引导的补丁采样的结构保持自监督去噪

Jaehyun Cho, YoungJoon Yoo

机构 * Department of Artificial Intelligence, Chung-Ang University（Chung-Ang大学人工智能系） ； SNUAILAB 纠错

专题命中 医学影像 ：MRI(summary_cn,abstract)；CT(summary_cn,abstract)；分类 cs.CV、eess.IV

AI总结 提出NGPS框架，通过邻域引导的补丁采样在局部错位下构建自监督去噪目标，无需显式配准，在CT和MRI上提升保真度和结构敏感指标。

Comments The 19th European Conference on Computer Vision: ECCV 2026

An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis

人类胎儿大脑的MRI图谱：用于胎儿大脑MRI分析的参考和分割工具

Mahdi Bagheri, Clemente Velasco-Annis, Jian Wang, Razieh Faghihpirayesh, Shadab Khan, Camilo Calixto, Camilo Jaimes, Lana Vasung, Abdelhakim Ouaalam, Onur Afacan, Simon K. Warfield, Caitlin K. Rollins, Ali Gholipour

专题命中 医学影像 ：MRI(title,title_cn)；分类 q-bio

AI总结 本文介绍了CRL-2025胎儿大脑图谱，提供了更详细的解剖信息和分割工具，用于胎儿大脑MRI分析和神经发育研究。

Beyond Calibration: Confounding Pathology Limits Foundation Model Specificity in Abdominal Trauma CT

超越校准：混淆病理限制了腹部创伤CT基础模型的特异性

Jineel H Raythatha, Shuchang Ye, Jeremy Hsu, Jinman Kim

机构 * School of Computer Science, Faculty of Engineering, The University of Sydney（悉尼大学计算机科学学院，工程学院） ； Department of Surgery, Faculty of Medicine and Health, The University of Sydney（悉尼大学医学与健康学院外科部门） ； Westmead Trauma Service, Westmead Hospital, Western Sydney Local Health District（西墨尔本创伤服务，西墨尔本医院，西悉尼地方卫生区） 纠错

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

AI总结 该研究发现基础模型在腹部创伤CT诊断中特异性不足主要由负类异质性导致，而非患病率本身，提示需通过训练提升其适应性。

Comments 26 pages, 4 figures, 4 tables

Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis

Ifrat Ikhtear Uddin, Longwei Wang, KC Santosh

机构 * AI Research Lab, Department of Computer Science, University of South Dakota, Vermillion, SD 57069, USA（人工智能研究实验室，计算机科学系，南达科他大学，弗米利恩，SD 57069，美国） 纠错

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

Comments Accepted for publication in the proceedings of MICCAI Workshop on Data Engineering in Medical Imaging 2025

AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations

Shuhan Ding, Jingjing Fu, Yu Gu, Naiteek Sangani, Mu Wei, Paul Vozila, Nan Liu, Jiang Bian, Hoifung Poon

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

Explainable Artificial Intelligence in Biomedical Image Analysis: A Comprehensive Survey

Getamesay Haile Dagnaw, Yanming Zhu, Muhammad Hassan Maqsood, Wencheng Yang, Xingshuai Dong, Xuefei Yin, Alan Wee-Chung Liew

机构 * Griffith University（格里菲斯大学） ； University of Southern Queensland（南部昆士兰大学） 纠错

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

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2

Gustav Müller-Franzes, Firas Khader, Robert Siepmann, Tianyu Han, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn

专题命中 医学影像 ：medical image(title,abstract)；diagnosis(title)；MRI(abstract)；CT(abstract)

Journal ref Sci Rep 15, 23979 (2025)

UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation

Emmanuelle Bourigault, Amir Jamaludin, Abdullah Hamdi

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

Comments preprint

Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI

Taymaz Akan, Sait Alp, Md. Shenuarin Bhuiyan, Elizabeth A. Disbrow, Steven A. Conrad, John A. Vanchiere, Christopher G. Kevil, Mohammad A. N. Bhuiyan

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

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation

Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lifang He, Lichao Sun

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

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci

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

Comments Peer-reviewer version

Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods

Fazli Wahid, Yingliang Ma, Dawar Khan, Muhammad Aamir, Syed U. K. Bukhari

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

Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology

Amin Ranem, Niklas Babendererde, Moritz Fuchs, Anirban Mukhopadhyay

专题命中 医学影像 ：pathology(title,abstract)；radiology(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images

Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne

专题命中 医学影像 ：CT(title,abstract)；pathology(title)；medical image(abstract)；biomedical(abstract)

Comments 5 pages including references, accepted as Oral presentation at IEEE ISBI 2020

Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models

Qing Lyu, Ge Wang

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

Medical Image Segmentation on MRI Images with Missing Modalities: A Review

Reza Azad, Nika Khosravi, Mohammad Dehghanmanshadi, Julien Cohen-Adad, Dorit Merhof

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

Modality specific U-Net variants for biomedical image segmentation: A survey

Narinder Singh Punn, Sonali Agarwal

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

Journal ref Artificial Intelligence Review (2022)

Ensembling Low Precision Models for Binary Biomedical Image Segmentation

Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert Sabuncu

专题命中 医学影像 ：medical image(title,abstract)；biomedical(title)；MRI(abstract)；CT(abstract)

Comments 10 pages, 4 figures

KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel

专题命中 医学影像 ：medical image(title,abstract)；biomedical(title)；MRI(abstract)；CT(abstract)

Comments Journal Extension of KiU-Net (MICCAI-2020)

C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification

Hosein Barzekar, Zeyun Yu

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

CNNs and GANs in MRI-based cross-modality medical image estimation

Azin Shokraei Fard, David C. Reutens, Viktor Vegh

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

Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI

Tarun Kanti Ghosh, Md. Kamrul Hasan, Shidhartho Roy, Md. Ashraful Alam, Eklas Hossain, Mohiuddin Ahmad

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

Comments 17 pages

Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data

Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris Metaxas

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

Comments 6 pages, 3 figures. Accepted in IEEE BIBE 2020

GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis

Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Evis Sala, Hideki Nakayama, Shin'ichi Satoh

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

Comments 10 pages, 4 figures, Accepted to Lecture Notes in Bioinformatics (LNBI) as a volume in the Springer series