医学 AI - arXivDaily 专题

2110.05280 2021-10-12 cs.CV 79%

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT

Xianghua Ye, Dazhou Guo, Chen-kan Tseng, Jia Ge, Tsung-Min Hung, Ping-Ching Pai, Yanping Ren, Lu Zheng, Xinli Zhu, Ling Peng, Ying Chen, Xiaohua Chen, Chen-Yu Chou, Danni Chen, Jiaze Yu, Yuzhen Chen, Feiran Jiao, Yi Xin, Lingyun Huang, Guotong Xie, Jing Xiao, Le Lu, Senxiang Yan, Dakai Jin, Tsung-Ying Ho

专题命中医学影像：CT(title,abstract)；分类 cs.CV

Comments 36 pages, 10 figures

2103.08438 2021-10-12 physics.med-ph eess.IV 79%

Task-driven assessment of experimental designs in diffusion MRI: a computational framework

Sean C. Epstein, Timothy J. P. Bray, Margaret A. Hall-Craggs, Hui Zhang

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

Comments 25 pages, 5 figures, 2 tables

2110.00715 2021-10-05 cs.CV math.OC 79%

An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset

Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang

专题命中医学影像：MRI(title,abstract)；分类 cs.CV

Comments 27 pages

2106.13292 2021-10-05 cs.CV 79%

Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris

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

Comments MICCAI 2021 Oral

2107.00781 2021-09-29 cs.CV 79%

UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

Yunhe Gao, Mu Zhou, Dimitris Metaxas

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

Comments Accepted by MICCAI 2021. Code: https://github.com/yhygao/UTNet

2103.11390 2021-09-24 cs.CV 79%

Multi-view analysis of unregistered medical images using cross-view transformers

Gijs van Tulder, Yao Tong, Elena Marchiori

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

Comments Conference paper presented at MICCAI 2021. Code available via https://vantulder.net/code/2021/miccai-transformers/

Journal ref In: M. de Bruijne et al. (Eds.): MICCAI 2021, LNCS 12903, pp. 104-113, Springer Nature Switzerland, 2021

2109.03233 2021-09-20 eess.IV 79%

Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays

Dewen Zeng, John N. Kheir, Peng Zeng, Yiyu Shi

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

Comments 7 pages, submitted to ICCAD'21 special session

2004.01147 2021-09-20 physics.med-ph eess.IV 79%

CORE-Deblur: Parallel MRI Reconstruction by Deblurring Using Compressed Sensing

Efrat Shimron, Andrew G. Webb, Haim Azhari

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

Comments 11 pages, 6 figures, 1 table

2009.09571 2021-09-14 cs.CV cs.AI 79%

Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images

Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay, Baozhou Sun, Weixiong Zhang

专题命中医学影像：CT(title,abstract)；分类 cs.CV

Comments 16 pages, 4 figures

1809.06130 2021-09-09 cs.CV 79%

A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration

Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Marius Staring, Ivana Isgum

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

Comments Accepted: Medical Image Analysis - Elsevier

Journal ref Medical Image Analysis, Volume 52, February 2019, Pages 128-143

2106.04792 2021-09-08 eess.IV physics.ins-det 79%

Deep learning based low-dose synchrotron radiation CT reconstruction

Ling Li, Yu Hu

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

Comments 10 pages, 6 figures

2109.02252 2021-09-07 q-bio.QM cs.CV eess.IV 79%

Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study

Junhua Chen, Inigo Bermejo, Andre Dekker, Leonard Wee

专题命中医学影像：medical image(abstract)；CT(abstract)；diagnosis(abstract)；分类 cs.CV、q-bio、eess.IV

2011.13066 2021-09-03 cs.CV cs.AI 79%

USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

Yixiong Chen, Chunhui Zhang, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan

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

2004.10464 2021-09-01 math.NA cs.NA eess.IV 79%

Learning Optical Flow for Fast MRI Reconstruction

T. Schmoderer, A. I Aviles-Rivero, V. Corona, N. Debroux, C-B. Schönlieb

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

2108.12816 2021-08-31 cs.LG cs.CR 79%

Privacy-preserving Machine Learning for Medical Image Classification

Shreyansh Singh, K. K. Shukla

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

2106.14463 2021-08-31 cs.CL cs.AI cs.IR cs.LG 79%

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven QH Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar

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

Comments Accepted to the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks

2012.11967 2021-08-30 cs.CL cs.IR cs.LG 79%

g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection

Anna Glazkova, Maksim Glazkov, Timofey Trifonov

专题命中医学影像：CT(title,abstract)；分类 cs.LG

Comments The winning solution at the Constraint shared task (AAAI-2021)

Journal ref Combating Online Hostile Posts in Regional Languages during Emergency Situation, 116-127, 2021. Springer, Cham

2008.13570 2021-08-26 eess.IV 79%

Deep Learning based Spectral CT Imaging

Weiwen Wu, Dianlin Hu, Chuang Niu, Lieza Vanden Broeke, Anthony P. H. Butler, Peng Cao, James Atlas, Alexander Chernoglazov, Varut Vardhanabhuti, Ge Wang

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

2106.13199 2021-08-23 cs.LG 79%

A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs

Hanxi Sun, Jason Plawinski, Sajanth Subramaniam, Amir Jamaludin, Timor Kadir, Aimee Readie, Gregory Ligozio, David Ohlssen, Mark Baillie, Thibaud Coroller

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

Comments v2

2108.04938 2021-08-12 cs.CV cs.AI cs.CL 79%

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C. -C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang

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

Comments 10 pages, 8 figures, Accepted in ICCV workshop

2106.03239 2021-08-12 eess.IV physics.med-ph 79%

Constrained Ellipse Fitting for Efficient Parameter Mapping with Phase-cycled bSSFP MRI

Kübra Keskin, Uğur Yılmaz, Tolga Çukur

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

Comments Citation Information: DOI 10.1109/TMI.2021.3102852, IEEE Transactions on Medical Imaging

2102.08003 2021-08-11 physics.med-ph cs.CV 79%

DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction

Tao Wang, Wenjun Xia, Yongqiang Huang, Huaiqiang Sun, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang

专题命中医学影像：CT(title,abstract)；分类 cs.CV

Comments 29 pages, 11 figures

2005.02876 2021-08-11 physics.med-ph eess.IV 79%

Efficiency analysis for quantitative MRI of T1 and T2 relaxometry methods

David Leitão, Rui Pedro A. G. Teixeira, Anthony Price, Alena Uus, Joseph V. Hajnal, Shaihan J. Malik

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

Comments Submitted to Physics in Medicine and Biology

2108.03817 2021-08-10 eess.IV physics.med-ph 79%

Evaluation of distortion correction methods in diffusion MRI of the spinal cord

Haykel Snoussi, Julien Cohen-Adad, Olivier Commowick, Benoit Combes, Elise Bannier, Soizic Leguy, Anne Kerbrat, Christian Barillot, Emmanuel Caruyer

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

2108.03809 2021-08-10 cs.CV 79%

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images

Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia

专题命中医学影像：CT(title,abstract)；分类 cs.CV

2108.03300 2021-08-10 cs.CV 79%

Medical image segmentation with imperfect 3D bounding boxes

Ekaterina Redekop, Alexey Chernyavskiy

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

Comments Accepted for MICCAI-2021 DALI Workshop

2106.06801 2021-08-09 cs.CV 79%

Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation

Prashant Pandey, Ajey Pai, Nisarg Bhatt, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam

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

Comments The paper is withdrawn due to a bug in experimental protocol that renders its experimental results and observations invalid. All expts were conducted by the student authors. The roles of senior authors (Prasenjit Das, Govind Makharia, Prathosh, and Mausam) were in defining the problem statement, discussions of potential solutions and framing of the paper and not in performing experiments

2101.01834 2021-08-04 math.OC cs.NA eess.IV math.NA 79%

Synergistic Multi-spectral CT Reconstruction with Directional Total Variation

Evelyn Cueva, Alexander Meaney, Samuli Siltanen, Matthias J. Ehrhardt

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

Comments 17 pages, 17 figures

2108.00760 2021-08-03 cs.CV cs.AI 79%

BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images

Haichou Chen, Yishu Deng, Bin Li, Zeqin Li, Haohua Chen, Bingzhong Jing, Chaofeng Li

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

2107.10100 2021-07-22 cs.CV 79%

Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation

Shuailin Li, Zhitong Gao, Xuming He

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

Comments To appear in MICCAI 2021

1. 医学影像 22719 篇

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT

Task-driven assessment of experimental designs in diffusion MRI: a computational framework

An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset

Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

Multi-view analysis of unregistered medical images using cross-view transformers

Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays

CORE-Deblur: Parallel MRI Reconstruction by Deblurring Using Compressed Sensing

Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images

A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration

Deep learning based low-dose synchrotron radiation CT reconstruction

Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study

USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

Learning Optical Flow for Fast MRI Reconstruction

Privacy-preserving Machine Learning for Medical Image Classification

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection

Deep Learning based Spectral CT Imaging

A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Constrained Ellipse Fitting for Efficient Parameter Mapping with Phase-cycled bSSFP MRI

DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction

Efficiency analysis for quantitative MRI of T1 and T2 relaxometry methods

Evaluation of distortion correction methods in diffusion MRI of the spinal cord

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images

Medical image segmentation with imperfect 3D bounding boxes

Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation

Synergistic Multi-spectral CT Reconstruction with Directional Total Variation

BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images

Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation