医学 AI - arXivDaily 专题

2107.09442 2021-07-21 eess.IV cs.CV 82%

Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT

Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne

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

Comments Accepted for publication in Radiology: Artificial Intelligence (https://pubs.rsna.org/journal/ai), which is published by the Radiological Society of North America (RSNA)

2105.08949 2021-07-07 eess.IV cs.CV 82%

Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu

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

Comments 10 pages, 3 figures

Journal ref International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2021)

2105.09124 2021-05-20 cs.CV cs.AI cs.LG 82%

Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images

Guang-Quan Zhou, Juzheng Miao, Xin Yang, Rui Li, En-Ze Huo, Wenlong Shi, Yuhao Huang, Jikuan Qian, Chaoyu Chen, Dong Ni

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

Comments 12 pages, 10 figures, accepted by IEEE Journal of Biomedical and Health Informatics

1909.05773 2021-04-14 eess.IV cs.CV physics.med-ph 82%

PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI

Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg Michailovich, Michael Zibulevsky, Alex Bronstein

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

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org

2104.01771 2021-04-06 eess.IV cs.CV 82%

FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images

Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen

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

Comments Accepted by Medical Image Analysis

1811.05699 2021-04-01 cs.CV cs.LG 82%

A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans

Ezequiel de la Rosa, Diana M. Sima, Thijs Vande Vyvere, Jan S. Kirschke, Bjoern Menze

专题命中医学影像：CT(title,abstract)；分类 cs.CV、cs.LG；biomedical(journal_ref)

Comments Submitted to ISBI 2019

Journal ref 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (pp. 732-735). IEEE

2012.13364 2020-12-25 eess.IV cs.CV 82%

Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification

Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar

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

Comments Accepted at IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI)

2012.01777 2020-12-04 eess.IV cs.CV 82%

Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation

Toan Duc Bui, Manh Nguyen, Ngan Le, Khoa Luu

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

Comments Medical Image Computing and Computer Assisted Interventions

2004.01279 2020-11-20 eess.IV cs.CV 82%

Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Shikha Chaganti, Abishek Balachandran, Guillaume Chabin, Stuart Cohen, Thomas Flohr, Bogdan Georgescu, Philippe Grenier, Sasa Grbic, Siqi Liu, François Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas Re, Pina Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu

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

Journal ref Radiology: Artificial Intelligence, Vol. 2, No. 4, 2020

2011.06671 2020-11-16 eess.IV cs.CV physics.ins-det 82%

Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom

Florian Schiffers, Thomas Bochynek, Andre Aichert, Tobias Würfl, Michael Rubenstein, Oliver Cossairt

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

Comments This paper was originally published at the 6th International Conference on Image Formation in X-Ray Computed Tomography (CTmeeting 2020)

Journal ref CT Meeting 2020

2009.04392 2020-09-10 eess.IV cs.LG 82%

Learning Anatomical Segmentations for Tractography from Diffusion MRI

Christian Ewert, David Kügler, Anastasia Yendiki, Martin Reuter

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

Comments Christian Ewert and David Kügler contributed equally. Accepted at MICCAI 2020 International Workshop on Computational Diffusion MRI

2008.11853 2020-08-28 eess.IV cs.CV 82%

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang

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

Comments 11 pages, 3 figures, Early accepted to Medical Image Computing and Computer Assisted Interventions Conference (MICCAI) 2020

2008.02251 2020-08-06 cs.CV eess.IV physics.med-ph 82%

Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies

Thomas Küstner, Tobias Hepp, Marc Fischer, Martin Schwartz, Andreas Fritsche, Hans-Ulrich Häring, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis, Jürgen Machann

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

Comments This manuscript has been accepted for publication in Radiology: Artificial Intelligence (https://pubs.rsna.org/journal/ai), which is published by the Radiological Society of North America (RSNA)

2007.04258 2020-07-09 eess.IV cs.CV 82%

Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu

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

Comments Under review at Medical Image Analysis

2007.00121 2020-07-02 eess.IV cs.CV physics.med-ph 82%

Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study

Elena A. Kaye, Emily A. Aherne, Cihan Duzgol, Ida Häggström, Erich Kobler, Yousef Mazaheri, Maggie M Fung, Zhigang Zhang, Ricardo Otazo, Herbert A. Vargas, Oguz Akin

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

Comments This manuscript has been accepted for publication in Radiology: Artificial Intelligence (https://pubs.rsna.org/journal/ai), which is published by the Radiological Society of North America (RSNA)

1907.02865 2020-06-17 eess.IV cs.CV 82%

Cardiac MRI Segmentation with Strong Anatomical Guarantees

Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin

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

Comments 9 pages, accepted for MICCAI 2019; camera ready corrections, acknowledgments

Journal ref in Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019, pp. 632-640

2004.14003 2020-05-28 eess.IV cs.CV 82%

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Arjun D. Desai, Francesco Caliva, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew Torigian, Jutta Ellermann, Mehmet Akcakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O`Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry E. Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari

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

Comments Submitted to Radiology: Artificial Intelligence; Fixed typos

2004.01997 2020-04-07 eess.IV cs.CV 82%

Volumetric Attention for 3D Medical Image Segmentation and Detection

Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos

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

Comments Accepted by MICCAI 2019

Journal ref In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 175-184. Springer, Cham, 2019

2002.06927 2020-02-19 eess.IV cs.CV 82%

Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT

Mohamed S. Elmahdy, Tanuj Ahuja, U. A. van der Heide, Marius Staring

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

Comments IEEE International Symposium on Biomedical Imaging (IEEE ISBI 2020)

1910.04961 2020-01-23 eess.IV cs.CV 82%

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation

Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond

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

Comments Code: https://github.com/yunyanxing/pairwise_xray_augmentation - Accepted to the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019

1911.01764 2019-11-06 cs.LG eess.IV 82%

One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel

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

Journal ref Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 11765, pp. 30-38, Springer, 2019

1911.01218 2019-11-05 cs.CV cs.LG 82%

Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations

Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne

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

Journal ref In proceedings of Medical Image Computing and Computer Assisted Intervention - MICCAI 2019

1910.04866 2019-10-14 eess.IV cs.CV 82%

Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images

Rula Amer, Jannette Nassar, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer

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

Comments 9 pages, 4 figures, 2 tables, MICCAI 2019, the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention

1907.03338 2019-10-14 eess.IV cs.CV 82%

Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation

Alain Jungo, Mauricio Reyes

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

Comments Appears in Medical Image Computing and Computer Assisted Interventions (MICCAI), 2019

1909.02511 2019-10-01 eess.IV cs.CV 82%

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu

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

Comments 11 pages, accepted by 2019 MICCAI - Medical Image Learning with Less Labels and Imperfect Data Workshop

1908.11506 2019-09-04 eess.IV cs.CV 82%

Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval

Akira Kudo, Yoshiro Kitamura, Yuanzhong Li, Satoshi Iizuka, Edgar Simo-Serra

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

Comments 10 pages, 6 figures, Accepted to Machine Learning for Medical Image Reconstruction (MLMIR) at MICCAI 2019

1908.05343 2019-08-16 eess.IV cs.CV 82%

Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography

Jelmer M. Wolterink, Tim Leiner, Ivana Išgum

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

Comments MICCAI 2019 Workshop on Graph Learning in Medical Image (GLMI)

1810.08229 2019-04-11 cs.CV cs.LG 82%

MRI Reconstruction via Cascaded Channel-wise Attention Network

Qiaoying Huang, Dong Yang, Pengxiang Wu, Hui Qu, Jingru Yi, Dimitris Metaxas

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

Comments Accepted by the IEEE International Symposium on Biomedical Imaging (ISBI) 2019. Code is available now

1903.03929 2019-03-12 cs.CV cs.LG 82%

Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative

Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka

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

Comments KEYWORDS: Graph based segmentation; Just enough interaction; LOGISMOS; Neighborhood approximation forests; Osteoarthritis; Random forest classifier; knee MRI PMID: 28626842 PMCID: PMC5471813

Journal ref Med Image Comput Comput Assist Interv. 2016 Oct;9901:344-351. doi: 10.1007/978-3-319-46723-8_40. Epub 2016 Oct 2

1806.04368 2018-06-13 eess.IV cs.CV 82%

Initialize globally before acting locally: Enabling Landmark-free 3D US to MRI Registration

Julia Rackerseder, Maximilian Baust, Rüdiger Göbl, Nassir Navab, Christoph Hennersperger

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

Comments This is a pre-print of an article published in the Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018

1. 医学影像 22656 篇

Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT

Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images

PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI

FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images

A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans

Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification

Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation

Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom

Learning Anatomical Segmentations for Tractography from Diffusion MRI

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies

Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study

Cardiac MRI Segmentation with Strong Anatomical Guarantees

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Volumetric Attention for 3D Medical Image Segmentation and Detection

Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation

One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations

Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images

Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval

Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography

MRI Reconstruction via Cascaded Channel-wise Attention Network

Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative

Initialize globally before acting locally: Enabling Landmark-free 3D US to MRI Registration