医学 AI - arXivDaily 专题

2004.05319 2020-04-14 eess.IV cs.CV cs.LG 82%

KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow

Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam

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

Comments Accepted in MIDL 2020. Code available

2004.03466 2020-04-13 eess.IV cs.CV cs.LG 82%

U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation

Shuhang Wang, Szu-Yeu Hu, Eugene Cheah, Xiaohong Wang, Jingchao Wang, Lei Chen, Masoud Baikpour, Arinc Ozturk, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony Samir

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

Comments 8 pages MICCAI

1907.02832 2020-04-09 physics.med-ph 82%

SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI

Marco Palombo, Andrada Ianus, Daniel Nunes, Michele Guerreri, Daniel C. Alexander, Noam Shemesh, Hui Zhang

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

1905.09324 2020-04-07 eess.IV cs.CV eess.SP physics.med-ph 82%

Joint learning of cartesian undersampling and reconstruction for accelerated MRI

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

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

Comments ICASSP 2020

2004.01648 2020-04-06 cs.CV cs.LG eess.IV 82%

Deep Learning based detection of Acute Aortic Syndrome in contrast CT images

Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek

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

2004.01582 2020-04-06 eess.IV cs.CV cs.LG 82%

Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks

Alexander Ding, Qilei Chen, Yu Cao, Benyuan Liu

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

2004.01307 2020-04-06 eess.IV cs.CV cs.LG 82%

STAN-CT: Standardizing CT Image using Generative Adversarial Network

Md Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen

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

Comments 10 pages, 5 figures

2003.05037 2020-04-02 eess.IV cs.CV cs.LG 82%

Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis

Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot Siegel

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

Comments 19 pages, 6 figures

2003.09424 2020-03-24 cs.CV cs.LG eess.IV stat.ML 82%

Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods

Mucahid Barstugan, Umut Ozkaya, Saban Ozturk

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

Comments The paper has 10 pages

1912.02911 2020-03-24 cs.CV cs.LG eess.IV stat.ML 82%

Deep learning with noisy labels: exploring techniques and remedies in medical image analysis

Davood Karimi, Haoran Dou, Simon K. Warfield, Ali Gholipour

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

1910.11315 2020-03-17 physics.med-ph 82%

Bone Material Analogues for PET/MRI Phantoms

Dharshan Chandramohan, Peng Cao, Misung Han, Hongyu An, John J. Sunderland, Paul E. Kinahan, Richard Laforest, Thomas A. Hope, Peder E. Z. Larson

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

Journal ref Med Phys. 2020 Feb 8. doi: 10.1002/mp.14079

1909.07480 2020-03-10 eess.IV cs.CV cs.LG stat.ML 82%

Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation

Peichao Li, Xiao-Yun Zhou, Zhao-Yang Wang, Guang-Zhong Yang

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

Comments 8 pages, 9 figures, two tables

2002.11885 2020-02-28 cs.LG cs.CV eess.IV stat.ML 82%

Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case

Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying

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

2002.05322 2020-02-18 eess.IV cs.CV cs.LG 82%

Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images

Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong, Peyman Mostaghimi

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

Comments 16 figures

1912.01101 2020-02-05 eess.IV cs.CV cs.LG 82%

Offset Sampling Improves Deep Learning based Accelerated MRI Reconstructions by Exploiting Symmetry

Aaron Defazio

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

1907.07951 2020-02-04 eess.IV cs.CV cs.LG cs.SD eess.AS 82%

Automatic vocal tract landmark localization from midsagittal MRI data

Mohammad Eslami, Christiane Neuschaefer-Rube, Antoine Serrurier

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

1910.01634 2020-01-30 eess.IV cs.CV cs.LG stat.ML 82%

Improving Limited Angle CT Reconstruction with a Robust GAN Prior

Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle M. Champley

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

Comments NeurIPS 2019 Workshop on Deep Inverse Problems

2001.07150 2020-01-22 eess.IV cs.CV cs.LG 82%

A deep network for sinogram and CT image reconstruction

Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei

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

1906.04414 2020-01-08 physics.med-ph physics.bio-ph 82%

Iron Embedded Magnetic Nanodiamonds for in vivo MRI Contrast Enhancement

Bo-Rong Lin, Chien-Hsu Chen, Chun-Hsiang Chang, Srinivasu Kunuku, Tzung-Yuang Chen, Tung-Yuan Hsiao, Hung-Kai Yu, Yu-Jen Chang, Li-Chuan Liao, Fang-Hsin Chen, Huan Niu, Chien-Ping Lee

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

Comments 19 pages, 6 figures

1909.02372 2020-01-01 physics.med-ph 82%

An element-wise approach for simulating transcranial MRI-guided focused ultrasound thermal ablation

Nathan McDannold, P. Jason White, Rees Cosgrove

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

Journal ref Phys. Rev. Research 1, 033205 (2019)

1802.06468 2019-12-24 physics.med-ph 82%

Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy

Matteo Maspero, Mark H. F. Savenije, Anna M. Dinkla, Peter R. Seevinck, Martijn P. W. Intven, Ina M. Jurgenliemk-Schulz, Linda G. W. Kerkmeijer, Cornelis A. T. van den Berg

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

Comments Accepted for publication in Physics in Medicine and Biology, in press (2018)

1911.08388 2019-11-20 eess.IV cs.CV cs.LG 82%

Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction

Mehdi Amian, Mohammadreza Soltaninejad

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

Comments Submitted to Lecture Notes in Computer Science (LNCS) BraTS proceedings

1907.07807 2019-11-19 eess.IV cs.CV cs.LG 82%

A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images

Yunzhe Xue, Meiyan Xie, Fadi G. Farhat, Olga Boukrina, A. M. Barrett, Jeffrey R. Binder, Usman W. Roshan, William W. Graves

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

Comments Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract

1911.05140 2019-11-14 eess.IV cs.AI cs.CV cs.LG 82%

Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps

Umaseh Sivanesan, Luis H. Braga, Ranil R. Sonnadara, Kiret Dhindsa

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

Comments 16 pages, 8 figures

1911.01898 2019-11-06 eess.IV cs.CV cs.LG 82%

3D Deformable Convolutions for MRI classification

Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev

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

Comments Accepted to IEEE International Conference on Machine Learning and Applications (ICMLA 2019)

1911.00140 2019-11-04 eess.IV cs.CV cs.LG 82%

Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

Hyunseok Seo, Charles Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing

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

Comments Accept for publication at IEEE Transactions on Medical Imaging

1910.13512 2019-10-31 physics.bio-ph physics.chem-ph 82%

MnO2-gated Nanoplatforms with Targeted Controlled Drug Release and Contrast-Enhanced MRI Properties: from 2D Cell Culture to 3D Biomimetic Hydrogels

Yupeng Shi, Flavien Guenneau, Xiaolin Wang, Christophe Hélary, Thibaud Coradin

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

Journal ref Nanotheranostics, 2018, 2 (4), pp.403-416

1909.12525 2019-10-15 eess.IV cs.CV cs.LG 82%

GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention

Ashish Sinha, Yohei Sugawara, Yuichiro Hirano

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

Comments 4 pages, 4 figures, NeurIPS workshop

1910.05375 2019-10-15 eess.IV cs.CV cs.LG 82%

Extreme Few-view CT Reconstruction using Deep Inference

Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley

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

Comments Deep Inverse NeurIPS 2019 Workshop

1909.05630 2019-10-08 cs.LG cs.CV eess.IV stat.ML 82%

Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets

Walid Abdullah Al, Il Dong Yun

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

Comments 10 pages

1. 医学影像 22645 篇

KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow

U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation

SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI

Joint learning of cartesian undersampling and reconstruction for accelerated MRI

Deep Learning based detection of Acute Aortic Syndrome in contrast CT images

Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks

STAN-CT: Standardizing CT Image using Generative Adversarial Network

Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis

Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods

Deep learning with noisy labels: exploring techniques and remedies in medical image analysis

Bone Material Analogues for PET/MRI Phantoms

Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation

Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case

Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images

Offset Sampling Improves Deep Learning based Accelerated MRI Reconstructions by Exploiting Symmetry

Automatic vocal tract landmark localization from midsagittal MRI data

Improving Limited Angle CT Reconstruction with a Robust GAN Prior

A deep network for sinogram and CT image reconstruction

Iron Embedded Magnetic Nanodiamonds for in vivo MRI Contrast Enhancement

An element-wise approach for simulating transcranial MRI-guided focused ultrasound thermal ablation

Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy

Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction

A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images

Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps

3D Deformable Convolutions for MRI classification

Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

MnO2-gated Nanoplatforms with Targeted Controlled Drug Release and Contrast-Enhanced MRI Properties: from 2D Cell Culture to 3D Biomimetic Hydrogels

GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention

Extreme Few-view CT Reconstruction using Deep Inference

Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets