医学 AI - arXivDaily 专题

2012.05745 2021-05-18 eess.IV cs.CV cs.LG 82%

3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review

Daria Kern, Andre Mastmeyer

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

Comments 10 pages, 5 figures, 1 table

Journal ref IEEE ICIEA / JOIG 2021

2105.06315 2021-05-14 physics.med-ph 82%

Comparison of different deep learning architectures for synthetic CT generation from MR images

Abbas Bahrami, Alireza Karimian, Hossein Arabi

专题命中医学影像：CT(title,abstract)；MRI(abstract)

2103.14969 2021-05-14 eess.IV cs.AI cs.CV cs.LG 82%

Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future

Teofilo E. Zosa

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

Comments Review paper written for the UCSD PhD Research Mastery Exam; June 7, 2019

2105.00240 2021-05-04 eess.IV cs.CV cs.LG 82%

Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning

Hyungjin Chung, Jaehyun Kim, Jeong Hee Yoon, Jeong Min Lee, Jong Chul Ye

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

2104.14506 2021-04-30 cs.LG cs.CV eess.IV 82%

Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study

Qinghao Ye, Jun Xia, Guang Yang

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

Comments 6 pages, 4 figures, IEEE CBMS 2021

2007.02471 2021-04-29 eess.IV cs.CV cs.LG stat.ML 82%

Accelerated MRI with Un-trained Neural Networks

Mohammad Zalbagi Darestani, Reinhard Heckel

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

2103.04008 2021-04-21 eess.IV cs.CV cs.LG 82%

Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images

Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, Michael Lynch

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

Comments 12 pages

2104.08538 2021-04-20 eess.IV cs.CV cs.LG stat.ML 82%

Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising

Taesung Kwon, Jong Chul Ye

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

Comments 12 pages, 12 figures

2104.07235 2021-04-16 eess.IV cs.CV cs.LG 82%

Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification

Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye

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

Comments 13 pages

2104.02060 2021-04-07 eess.IV cs.CV cs.LG 82%

Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network

Jayalakshmi Mangalagiri, David Chapman, Aryya Gangopadhyay, Yaacov Yesha, Joshua Galita, Sumeet Menon, Yelena Yesha, Babak Saboury, Michael Morris, Phuong Nguyen

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

Comments It is a short paper accepted in CSCI 2020 conference and is accepted to publication in the IEEE CPS proceedings

2103.16492 2021-03-31 eess.IV cs.CV cs.LG 82%

Assessing the Role of Random Forests in Medical Image Segmentation

Dennis Hartmann, Dominik Müller, Iñaki Soto-Rey, Frank Kramer

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

2012.12820 2021-03-31 eess.IV cs.CV cs.LG 82%

Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning

Andreanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad, Yaou Liu

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

2103.13677 2021-03-26 eess.IV cs.CV cs.LG 82%

Explainability Guided Multi-Site COVID-19 CT Classification

Ameen Ali, Tal Shaharabany, Lior Wolf

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

2102.00515 2021-03-23 eess.IV cs.CV cs.LG 82%

Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models

Fatih Uysal, Fırat Hardalaç, Ozan Peker, Tolga Tolunay, Nil Tokgöz

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

Comments This paper is accepted at Applied Sciences, MDPI, 2021, 11(6), 2723. Section: "Applied Biosciences and Bioengineering". Special Issue: "Advancing Biomedical Image Retrieval and Classification for Computer Aided Diagnosis"

Journal ref Applied Sciences, MDPI, 2021, 11(6), 2723. Section: "Applied Biosciences and Bioengineering". Special Issue: "Advancing Biomedical Image Retrieval and Classification for Computer Aided Diagnosis"

2102.12759 2021-03-22 eess.IV cs.CV cs.LG 82%

Binary segmentation of medical images using implicit spline representations and deep learning

Oliver J. D. Barrowclough, Georg Muntingh, Varatharajan Nainamalai, Ivar Stangeby

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

Comments 17 pages, 5 figures

Journal ref Computer Aided Geometric Design, Volume 85, 2021

2103.10056 2021-03-19 eess.IV cs.CV cs.LG 82%

Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI

Reza Shirkavand, Sana Ayromlou, Soroush Farghadani, Maedeh-sadat Tahaei, Fattane Pourakpour, Bahareh Siahlou, Zeynab Khodakarami, Mohammad H. Rohban, Mansoor Fatehi, Hamid R. Rabiee

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

Comments 12 pages, 5 figues

2103.04020 2021-03-10 eess.IV cs.CV cs.LG 82%

NeRD: Neural Representation of Distribution for Medical Image Segmentation

Hang Zhang, Rongguang Wang, Jinwei Zhang, Chao Li, Gufeng Yang, Pascal Spincemaille, Thanh Nguyen, Yi Wang

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

Comments 12 pages, 11 figures

2102.08148 2021-02-17 cs.CV cs.LG eess.IV 82%

Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels

Jintai Chen, Hongyun Yu, Ruiwei Feng, Danny Z. Chen, Jian Wu

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

Journal ref 2020 IEEE International Conference on Bioinformatics and Biomedicine

2101.01570 2021-02-09 eess.IV cs.CV cs.LG physics.med-ph stat.ML 82%

Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction

Zaccharie Ramzi, Jean-Luc Starck, Philippe Ciuciu

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

2004.06673 2021-02-09 eess.IV cs.CV cs.LG 82%

An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism

Tongxue Zhou, Stéphane Canu, Su Ruan

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

Comments 14 pages, 6 figures

Journal ref International journal of imaging systems and technology, 2020

2101.07433 2021-01-27 eess.IV cs.CV cs.LG 82%

COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning

Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong

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

Comments 15 pages

2101.09987 2021-01-26 eess.IV cs.CV cs.LG 82%

Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study

K. E. Sengun, Y. T. Cetin, M. S Guzel, S. Can, E. Bostanci

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

1910.01684 2021-01-26 eess.IV cs.CV cs.LG 82%

Time-Dependent Deep Image Prior for Dynamic MRI

Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, Jerome Yerly, Matthias Stuber, Michael Unser

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

Comments 11 pages, 6 figures. First Author has been changed

2005.07462 2021-01-26 eess.IV cs.CV cs.LG 82%

MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling

Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen

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

2101.07721 2021-01-20 eess.IV cs.CV cs.LG 82%

A survey on shape-constraint deep learning for medical image segmentation

Simon Bohlender, Ilkay Oksuz, Anirban Mukhopadhyay

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

2101.07715 2021-01-20 eess.IV cs.CV cs.LG 82%

Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms

David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Ole Solheim, Ingerid Reinertsen

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

Comments 16 pages, 5 figures, 3 tables. Submitted to Artificial Intelligence in Medicine

2010.08582 2021-01-18 eess.IV cs.CV cs.LG 82%

CT Image Segmentation for Inflamed and Fibrotic Lungs Using a Multi-Resolution Convolutional Neural Network

Sarah E. Gerard, Jacob Herrmann, Yi Xin, Kevin T. Martin, Emanuele Rezoagli, Davide Ippolito, Giacomo Bellani, Maurizio Cereda, Junfeng Guo, Eric A. Hoffman, David W. Kaczka, Joseph M. Reinhardt

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

Journal ref Sci Rep 11, 1455 (2021)

2012.15294 2021-01-01 eess.IV cs.CV cs.LG 82%

MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures

Laura Mora Ballestar, Veronica Vilaplana

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

Comments Extended paper. BrainLes Workshop, MICCAI 2020. arXiv admin note: substantial text overlap with arXiv:2009.12188

2012.07237 2020-12-29 eess.IV cs.CV cs.LG 82%

Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks

Muyi Sun, Zeyi Yao, Guanhong Zhang

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

Comments 6 pages. Accepted by ICPR2020 in the first round

1910.06271 2020-12-29 eess.IV cs.CV cs.LG 82%

Organ-based Chronological Age Estimation based on 3D MRI Scans

Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang

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

Comments Submitted to IEEE EUSIPCO 2020

1. 医学影像 22645 篇

3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review

Comparison of different deep learning architectures for synthetic CT generation from MR images

Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future

Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning

Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study

Accelerated MRI with Un-trained Neural Networks

Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images

Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising

Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification

Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network

Assessing the Role of Random Forests in Medical Image Segmentation

Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning

Explainability Guided Multi-Site COVID-19 CT Classification

Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models

Binary segmentation of medical images using implicit spline representations and deep learning

Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI

NeRD: Neural Representation of Distribution for Medical Image Segmentation

Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels

Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction

An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism

COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning

Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study

Time-Dependent Deep Image Prior for Dynamic MRI

MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling

A survey on shape-constraint deep learning for medical image segmentation

Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms

CT Image Segmentation for Inflamed and Fibrotic Lungs Using a Multi-Resolution Convolutional Neural Network

MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures

Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks

Organ-based Chronological Age Estimation based on 3D MRI Scans