医学 AI

shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation

Sanjeev Kumar Karn, Rikhiya Ghosh, Kusuma P, Oladimeji Farri

专题命中 医学影像 ：radiology(title,abstract)

Comments 1st Place in Task 1B: Radiology Report Summarization at BioNLP 2023

Journal ref BioNLP 2023, Co-located with ACL 2023

Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation

Xiaofeng Liu, Jerry L. Prince, Fangxu Xing, Jiachen Zhuo, Reese Timothy, Maureen Stone, Georges El Fakhri, Jonghye Woo

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

Comments Accepted to Medical Image Analysis

Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations

Zahra Hafezi Kafshgari, Chamani Shiranthika, Parvaneh Saeedi, Ivan V. Bajić

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

Comments 5 pages, 4 figures, IEEE International Symposium on Biomedical Imaging (ISBI) 2023

Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study

Matthew Ng, Fumin Guo, Labonny Biswas, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Graham Wright

专题命中 医学影像 ：MRI(title)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments Accepted to IEEE Transactions on Biomedical Engineering. Copyright (c) 2022 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending an email to pubs-permissions@ieee.org

A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of EGFR Mutation Status from CT Scans

Ivo Gollini Navarrete, Mohammad Yaqub

专题命中 医学影像 ：CT(title)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments 4 pages, 3 figures, 3 tables. Preprint to International Symposium on Biomedical Imaging (ISBI) 2023

Iterative image reconstruction for CT with unmatched projection matrices using the generalized minimal residual algorithm

Emil Y. Sidky, Per Christian Hansen, Jakob S. Jørgensen, Xiaochuan Pan

专题命中 医学影像 ：CT(title,abstract)

Comments Accepted to the 2022 CT Meeting

Differentially private federated deep learning for multi-site medical image segmentation

Alexander Ziller, Dmitrii Usynin, Nicolas Remerscheid, Moritz Knolle, Marcus Makowski, Rickmer Braren, Daniel Rueckert, Georgios Kaissis

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

Comments Submitted to the Journal of Machine Learning in Biomedical Imaging (MELBA)

Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps

Heng Fang, Xi Yang, Taichi Kin, Takeo Igarashi

专题命中 医学影像 ：MRI(title)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments Accepted by IEEE ISBI 2021 (International Symposium on Biomedical Imaging)

MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation

Marta B. M. Ranzini, Lucas Fidon, Sébastien Ourselin, Marc Modat, Tom Vercauteren

专题命中 医学影像 ：MRI(title)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments Abstract accepted at IEEE International Symposium on Biomedical Imaging (ISBI) 2021

Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation

Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton Becker, Olivio Donati, Ender Konukoglu

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

Comments 15 pages, 11 Figures, 3 tables. Accepted at Medical Image Analysis, 2020

Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser

Sizhuo Liu, Edward Reehorst, Philip Schniter, Rizwan Ahmad

专题命中 医学影像 ：MRI(title)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments IEEE ISBI 2020, International Symposium on Biomedical Imaging

Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis

David Major, Dimitrios Lenis, Maria Wimmer, Gert Sluiter, Astrid Berg, Katja Bühler

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

Comments Accepted for publication at IEEE International Symposium on Biomedical Imaging (ISBI) 2020

Learning to Summarize Radiology Findings

Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz

专题命中 医学影像 ：radiology(title,abstract)

Comments EMNLP 2018 Workshop on Health Text Mining and Information Analysis (EMNLP-LOUHI). Code and pretrained model available at: https://github.com/yuhaozhang/summarize-radiology-findings

Evaluation of Diffusion Weighted Imaging in the Context of Multi-Parametric MRI of the Prostate in the assessment of suspected low volume prostatic carcinoma

Ioannis Papadopoulos, Jonathan Phillips, Rhodri Evans, Neil Fenn, Sophie Schermer

专题命中 医学影像 ：MRI(title,abstract)

Comments to appear in MRI

Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT?

Jonathan Mason, Alessandro Perelli, William Nailon, Mike Davies

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

Comments 13 pages, submitted to Medical Image Understanding and Analysis (MIUA) 2017 conference

High-Fidelity Modeling of Shift-Variant Focal-Spot Blur for High-Resolution CT

Steven Tilley, Wojciech Zbijewski, J. Webster Stayman

专题命中 医学影像 ：CT(title,abstract)；radiology(comments)

Comments Proceedings of the 14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, page 752

Multi-shell Sampling Scheme with Accurate and Efficient Transforms for Diffusion MRI

Alice P. Bates, Zubair Khalid, Rodney A. Kennedy, Jason D. McEwen

专题命中 医学影像 ：MRI(title,abstract)；biomedical(comments)

Comments 1 page, 1 figure, presented as a poster at the 2017 Biomedical and Astronomical Image Processing (BASP) Workshop

Multi-Material 3-D Viscoelastic Model of a Transtibial Residuum from In-vivo Indentation and MRI Data

David Moinina Sengeh, Kevin Mattheus Moerman, Arthur Petron, Hugh Herr

专题命中 医学影像 ：MRI(title,abstract)；biomedical(journal_ref)

Journal ref Journal of the Mechanical Behavior of Biomedical Materials, 2016

PET-MRI: a review of challenges and solutions in the development of integrated multimodality imaging

Stefaan Vandenberghe, Paul Marsden

专题命中 医学影像 ：MRI(title,abstract)

Comments 41 pages, topical review on PET-MRI. Physics in medicine and biology, 2015

Volume measurement by using super-resolution MRI: application to prostate volumetry

Estanislao Oubel, Hubert Beaumont, Antoine Iannessi

专题命中 医学影像 ：MRI(title,abstract)；radiology(comments)

Comments in ECR 2015 - European Congress of Radiology, Mar 2015, Vienna, Austria

Variable density sampling based on physically plausible gradient waveform. Application to 3D MRI angiography

Nicolas Chauffert, Pierre Weiss, Marianne Boucher, Sébastien Mériaux, Philippe CIUCIU

专题命中 医学影像 ：MRI(title,abstract)；biomedical(comments)

Comments IEEE International Symposium on Biomedical Imaging (ISBI), Apr 2015, New-York, United States

Fast Scatter Artifacts Correction for Cone-Beam CT without System Modification and Repeat Scan

Wei Zhao, Jun Zhu, Luyao Wang

专题命中 医学影像 ：CT(title,abstract)；radiology(comments)

Comments Submitted to The 13th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Comments are welcome

Improved Scatter Correction in X-Ray Cone Beam CT with Moving Beam Stop Array Using Johns' Equation

Hao Yan, Xuanqin Mou, Shaojie Tang, Qiong Xu

专题命中 医学影像 ：CT(title,abstract)；radiology(comments)

Comments 4 pages, pp98-101, Proceedings of the 10th International Meeting on Fully Three-dimensional Image Reconstruction in Radiology and Nuclear Medicine, Beijing, China, 2009

Variable Density Compressed Sensing In MRI. Theoretical vs Heuristic Sampling Strategies

Nicolas Chauffert, Philippe Ciuciu, Pierre Weiss

专题命中 医学影像 ：MRI(title,abstract)；biomedical(comments)

Comments ISBI - 10th International Symposium on Biomedical Imaging (2013)

Toward optimal X-ray flux utilization in breast CT

Jakob H. Joergensen, Per Christian Hansen, Emil Y. Sidky, Ingrid S. Reiser, Xiaochuan Pan

专题命中 医学影像 ：CT(title,abstract)；radiology(comments)

Comments accepted to the 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2011

Models of Vertically Stratified Two-Phase ISM Disks with MRI-Driven Turbulence

Robert A. Piontek, Eve C. Ostriker

专题命中 医学影像 ：MRI(title,abstract)

Comments 55 pages, 24 figures. Accepted for publication in ApJ. A high resolution PDF is available at http://www.aip.de/~rpiontek/ti_mri_strat.html

Journal ref Astrophys.J.663:183-203,2007

Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT

Emil Y. Sidky, Chien-Min Kao, Xiaochuan Pan

专题命中 医学影像 ：CT(title,abstract)

Comments appeared in Journal of X-Ray Science and Technology

Journal ref E. Y. Sidky and C.-M. Kao and X. Pan, "Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT," J. X-ray Sci. Tech., vol. 14, pgs. 119-139 (2006)

3D-Ultrasound probe calibration for computer-guided diagnosis and therapy

Michael Baumann, Vincent Daanen, Antoine Leroy, Jocelyne Troccaz

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

Journal ref Dans Proceedings of CVAMIA'06 - 2nd International workshop on Computer Vision Approaches to Medical Image Analysis - CVAMIA'06, Graz : Autriche (2006)

Evaluating soft tissue simulation in maxillofacial surgery using pre and post-operative CT scan

Matthieu Chabanas, Christophe Marecaux, Franz Chouly, Franck Boutault, Yohan Payan

专题命中 医学影像 ：CT(title,abstract)；radiology(journal_ref)

Journal ref Proceedings of the 18th International Conference on Computer Assisted Radiology and Surgery, CARS 2004. International Congress Series, Vol. 1268 Elsevier (Ed.) (2004) 419-424

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023

crossMoDA挑战赛：2021至2023年前庭神经鞘瘤与耳蜗分割的跨模态域自适应技术演进

Navodini Wijethilake, Reuben Dorent, Marina Ivory, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Mohamed Okasha, Anna Oviedova, Hexin Dong, Bogyeong Kang, Guillaume Sallé, Luyi Han, Ziyuan Zhao, Han Liu, Yubo Fan, Tao Yang, Shahad Hardan, Hussain Alasmawi, Santosh Sanjeev, Yuzhou Zhuang, Satoshi Kondo, Maria Baldeon Calisto, Shaikh Muhammad Uzair Noman, Cancan Chen, Ipek Oguz, Rongguo Zhang, Mina Rezaei, Susana K. Lai-Yuen, Satoshi Kasai, Yunzhi Huang, Chih-Cheng Hung, Mohammad Yaqub, Lisheng Wang, Benoit M. Dawant, Cuntai Guan, Ritse Mann, Vincent Jaouen, Tae-Eui Kam, Li Zhang, Jonathan Shapey, Tom Vercauteren

机构 * School of BMEIS, King's College London, London, United Kingdom（伦敦国王学院生物医学工程与信息科学学院） ； Harvard University, USA（哈佛大学） ； Elisabeth-TweeSteden Hospital, Tilburg, Netherlands（蒂尔堡埃利斯贝特-特维德登医院） ； King's College Hospital, London, United Kingdom（伦敦国王学院医院） ； Center for Data Science, Peking University, Beijing, China（北京大学数据科学中心） ； Center for Data Science in Health and Medicine, Peking University, Beijing, China（北京大学健康与医学数据科学中心） ； Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea（韩国大学人工智能系） ； Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands（拉德堡德大学医学中心放射科与核医学科） ； Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands（荷兰癌症研究所放射科） ； Nanyang Technological University, Singapore（南洋理工大学） ； Vanderbilt University, USA（范德比尔特大学） ； Department of Automation, Shanghai Jiao Tong University, Shanghai, China（上海交通大学自动化系） ； Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE（阿布扎克穆罕默德·本·扎耶德人工智能大学） ； School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China（华中科技大学计算机科学与技术学院） ； Center for Machine Vision and Security Research, Kennesaw State University, Marietta, MA 30060, USA（肯尼斯州立大学机器视觉与安全研究中心） ； Muroran Institute of Technology, Hokkaido, Japan（北海道Muroran理工学院） ； Niigata University of Health and Welfare, Niigata, Japan（Niigata健康与福利大学） ； University of South Florida, Tampa, FL, USA（佛罗里达州立大学） ； Infervision Advanced Research Institute, Beijing, China（北京Infervision高级研究 institutes） ； Academy for Multidisciplinary Studies, Capital Normal University, Beijing, China（北京师范大学多学科研究学院） ； School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China（南京信息科学技术大学自动化学院） 纠错

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

AI总结 该研究回顾2021-2023年crossMoDA挑战赛，分析跨模态域自适应技术在VS与耳蜗分割任务中的演进，发现数据规模与异构性提升可改善分割性能，但耳蜗Dice评分2023年下降，提示需更具挑战性的跨模态任务。