Dealing with Segmentation Errors in Needle Reconstruction for MRI-Guided Brachytherapy
Vangelis Kostoulas, Arthur Guijt, Ellen M. Kerkhof, Bradley R. Pieters, Peter A. N. Bosman, Tanja Alderliesten
机构
*
Dept. of Radiation Oncology, Leiden University Medical Center(放射肿瘤学系,莱顿大学医学中心)
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Evolutionary Intelligence Group, Centrum Wiskunde & Informatica(进化智能组,数学与信息学中心)
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Dept. of Radiation Oncology, Amsterdam University Medical Centers, University of Amsterdam(放射肿瘤学系,阿姆斯特丹大学医学中心,阿姆斯特丹大学)
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Cancer Center Amsterdam, Imaging and Biomarkers(阿姆斯特丹癌症中心,影像与生物标记物)
专题命中
医学影像
:MRI(title,abstract);分类 cs.CV、eess.IV
CommentsPublished in: Proc. SPIE Medical Imaging 2025, Vol. 13408, 1340826
Journal refProc. SPIE Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling, Vol. 13408, 1340826 (2025)
MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation
Nand Kumar Yadav, Rodrigue Rizk, William CW Chen, KC Santosh
机构
*
AI Research Lab, Department of Computer Science(人工智能研究实验室、计算机科学系)
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Biomedical & Translational Sciences, Sanford School of Medicine(生物医学与转化科学、桑福德医学院)
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University Of South Dakota(南达科他大学)
A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT
Tanjin Taher Toma, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Wesley Jong, Darwish Alabyad, Vivek Batheja, Abhishek Jha, Mayank Patel, Darko Pucar, Jayadira del Rivero, Karel Pacak, Ronald M. Summers
机构
*
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory(影像生物标记与计算机辅助诊断实验室)
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Clinical Center, NIH(国家卫生研究院临床中心)
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Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH(欧尼丝·凯蒂·施里弗国家儿童健康与人类发展研究所,国家卫生研究院)
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National Cancer Institute, NIH(国家癌症研究所,国家卫生研究院)
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National Institute of Diabetes and Digestive and Kidney Diseases, NIH(国家糖尿病、消化系统与肾病研究所,国家卫生研究院)
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan
机构
*
School of Computation, Information and Technology(计算信息学院)
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Technical University of Munich(慕尼黑技术大学)
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Munich Center for Machine Learning(慕尼黑机器学习中心)
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School of Medicine, Klinikum Rechts der Isar(医学院,莱茵河右岸医院)
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Department of Quantitative Biomedicine(定量生物医学系)
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University of Zurich(苏黎世大学)
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Department of Computing(计算系)
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Imperial College London(伦敦帝国理工学院)
MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
Siyi Xun, Yue Sun, Jingkun Chen, Zitong Yu, Tong Tong, Xiaohong Liu, Mingxiang Wu, Tao Tan
机构
*
Faculty of Applied Sciences, Macao Polytechnic University, Macao, China(澳门理工学院)
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Department of Engineer Science, University of Oxford, Oxford, UK(牛津大学工程科学系)
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Great Bay University, Dongguan, China(东莞大湾大学)
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College of Physics and Information Engineering, Fuzhou University, Fuzhou, China(福州大学物理与信息工程学院)
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Shanghai Jiao Tong University, Shanghai, China(上海交通大学)
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Department of Radiology, Shenzhen People’s Hospital, Shenzhen, China(深圳人民医院放射科)
专题命中
医学影像
:medical image(title,comments);分类 cs.CV
CommentsWe note that the version after peer review of this paper has been provisionally accepted by The 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025)
Hongjun An, Wenhan Hu, Sida Huang, Siqi Huang, Ruanjun Li, Yuanzhi Liang, Jiawei Shao, Yiliang Song, Zihan Wang, Cheng Yuan, Chi Zhang, Hongyuan Zhang, Wenhao Zhuang, Xuelong Li
机构
*
Institute of Artificial Intelligence (TeleAI), China Telecom(人工智能研究院(TeleAI),中国电信)
专题命中
医学影像
:CT(abstract);分类 cs.CV、eess.SP
CommentsAuthors are with Institute of Artificial Intelligence (TeleAI), China Telecom, China. Author names are listed alphabetically by surname. This work was conducted at TeleAI, facilitated by Dr. Jiawei Shao (e-mail: shaojw2@chinatelecom.cn) under the leadership of Prof. Xuelong Li. The corresponding author is Prof. Xuelong Li (e-mail: xuelong li@ieee.org), the CTO and Chief Scientist of China Telecom