医学 AI - arXivDaily 专题

2004.07965 2021-09-08 eess.IV cs.CV cs.LG 82%

A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images

Pradeeban Kathiravelu, Puneet Sharma, Ashish Sharma, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Nabile Safdar, Judy Wawira Gichoya

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

Comments Preprint

Journal ref Journal of Digital Imaging (JDI), 2021

2109.00903 2021-09-07 eess.IV cs.CV cs.LG 82%

Effect of the output activation function on the probabilities and errors in medical image segmentation

Lars Nieradzik, Gerik Scheuermann, Dorothee Saur, Christina Gillmann

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

2109.01949 2021-09-07 cs.LG cs.AI cs.CL cs.CV eess.IV 82%

Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment

Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur Srihari, Yifan Peng, Mingchen Gao

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

Comments 10 Pages, 1 Figure, 3 Tables, Accepted in 12th Machine Learning in Medical Imaging (MLMI 2021) workshop

2012.05661 2021-09-03 eess.IV cs.CV cs.LG 82%

Effect of the regularization hyperparameter on deep learning-based segmentation in LGE-MRI

Olivier Rukundo

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

Comments 4 pages, 2 figures

2108.12460 2021-08-31 eess.IV cs.CV eess.SP 82%

High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss

Ke Wang, Jonathan I Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella Yu, Michael Lustig

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

Comments 35 pages, 13 figures

2108.02704 2021-08-29 eess.IV cs.CV cs.LG 82%

Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images

Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger

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

Comments 13 pages, 6 images. Originally submitted to the European Conference on Computer Vision 2020 (but did not get enough grade to pass the acceptance threshold)

2107.09700 2021-07-22 eess.IV cs.CV cs.LG 82%

3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images

Sungmin Hong, Razvan Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland

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

Comments 11 pages, 6 figures, 2 tables. Provisionally Accepted at DGM4MICCAI workshop in MICCAI 2021

2107.04882 2021-07-19 cs.CV cs.LG eess.IV 82%

Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis

Anisie Uwimana1, Ransalu Senanayake

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

2107.04914 2021-07-13 cs.CV cs.LG eess.IV 82%

Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation

Ivan Zakazov, Boris Shirokikh, Alexey Chernyavskiy, Mikhail Belyaev

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

Comments Accepted for MICCAI-2021 conference

2107.04062 2021-07-12 eess.IV cs.CV cs.LG 82%

Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images

Nico Zettler, Andre Mastmeyer

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

Comments 9 pages, 6 figure, 2 tables

Journal ref International Conference on Computer Graphics, Visualization and Computer Vision 2021 - WSCG

2010.07290 2021-07-08 eess.IV cs.CV cs.LG physics.med-ph stat.ML 82%

XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge

Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck

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

Comments 8 pages, 3 figures, presented as an oral to the 2021 ISMRM conference

2107.01337 2021-07-06 eess.IV cs.CV cs.LG 82%

CT Image Harmonization for Enhancing Radiomics Studies

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

2011.05684 2021-07-06 cs.CV cs.LG eess.IV 82%

Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising

Sutanu Bera, Prabir Kumar Biswas

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

Journal ref IEEE Transactions on Medical Imaging 2021

2106.14947 2021-06-30 eess.IV cs.CV cs.LG 82%

Data augmentation for deep learning based accelerated MRI reconstruction with limited data

Zalan Fabian, Reinhard Heckel, Mahdi Soltanolkotabi

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

Comments 27 pages, 19 figures, to be published in ICML2021

2106.14724 2021-06-29 eess.IV cs.CV cs.LG 82%

Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images

Juan E. Arco, Andrés Ortiz, Javier Ramírez, Juan M Gorriz

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

Comments 14 pages, 5 figures

2106.14178 2021-06-29 eess.IV cs.CV cs.LG 82%

Residual Moment Loss for Medical Image Segmentation

Quanziang Wang, Renzhen Wang, Yuexiang Li, Kai Ma, Yefeng Zheng, Deyu Meng

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

2106.13188 2021-06-25 eess.IV cs.CV cs.LG 82%

Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI

Mengwei Ren, Heejong Kim, Neel Dey, Guido Gerig

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

Comments Accepted by MICCAI 2021. Project page: https://heejongkim.com/dwi-synthesis; Code: https://github.com/mengweiren/q-space-conditioned-dwi-synthesis

2012.15413 2021-06-22 eess.IV cs.CV cs.LG 82%

New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis

Chiranjibi Sitaula, Sunil Aryal

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

Comments Submitted to Health Information Science and Systems (Springer) for review

Journal ref Health Information Science and Systems (Springer), 2021

2106.09834 2021-06-21 eess.IV cs.CV cs.LG 82%

AI-Enabled Ultra-Low-Dose CT Reconstruction

Weiwen Wu, Chuang Niu, Shadi Ebrahimian, Hengyong Yu, Mannu Kalra, Ge Wang

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

Comments 19 pages, 10 figures, 1 table, 44 references

2106.05214 2021-06-10 eess.IV cs.CV cs.LG 82%

Implicit field learning for unsupervised anomaly detection in medical images

Sergio Naval Marimont, Giacomo Tarroni

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

Comments 10 pages, 3 figures. Accepted for publication in MICCAI 2021

2010.08115 2021-06-08 eess.IV cs.CV cs.LG 82%

Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images

Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan

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

2106.01830 2021-06-04 eess.IV cs.CV cs.LG 82%

Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans

Akihiro Fukuda, Changhee Han, Kazumi Hakamada

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

Comments 5 pages, 5 figures, accepted to ICIP 2021

2105.14986 2021-06-01 eess.IV cs.CV cs.LG physics.med-ph 82%

Feasibility Assessment of Multitasking in MRI Neuroimaging Analysis: Tissue Segmentation, Cross-Modality Conversion and Bias correction

Mohammad Eslami, Solale Tabarestani, Malek Adjouadi

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

2105.13993 2021-05-31 eess.IV cs.CV cs.LG 82%

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang

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

Comments arXiv Preprint

2103.11736 2021-05-31 eess.IV cs.CV cs.LG 82%

Automatic Pulmonary Artery-Vein Separation in CT Images using Twin-Pipe Network and Topology Reconstruction

Lin Pan, Yaoyong Zheng, Liqin Huang, Liuqing Chen, Zhen Zhang, Rongda Fu, Bin Zheng, Shaohua Zheng

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

2105.11863 2021-05-26 eess.IV cs.CV cs.LG 82%

CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning

Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov

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

2105.11241 2021-05-25 eess.IV cs.CV cs.LG 82%

Generation of COVID-19 Chest CT Scan Images using Generative Adversarial Networks

Prerak Mann, Sahaj Jain, Saurabh Mittal, Aruna Bhat

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

2105.09220 2021-05-20 eess.IV cs.CV cs.LG 82%

Joint Calibrationless Reconstruction and Segmentation of Parallel MRI

Aniket Pramanik, Xiaodong Wu, Mathews Jacob

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

2105.08157 2021-05-19 eess.IV cs.CV cs.LG 82%

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction

Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Qi Liu, Zhongqi Zhang, Yu Ding, Shuheng Zhang, Terrence Chen, Jian Xu, Shanhui Sun

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

Comments Presented at ISMRM 2021 as the digital poster

2105.07797 2021-05-18 eess.IV cs.CV cs.LG 82%

Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI

Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg

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

Comments Presented at the Swedish Symposium on Deep Learning 2021

1. 医学影像 22645 篇

A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images

Effect of the output activation function on the probabilities and errors in medical image segmentation

Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment

Effect of the regularization hyperparameter on deep learning-based segmentation in LGE-MRI

High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss

Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images

3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images

Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis

Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation

Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images

XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge

CT Image Harmonization for Enhancing Radiomics Studies

Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising

Data augmentation for deep learning based accelerated MRI reconstruction with limited data

Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images

Residual Moment Loss for Medical Image Segmentation

Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI

New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis

AI-Enabled Ultra-Low-Dose CT Reconstruction

Implicit field learning for unsupervised anomaly detection in medical images

Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images

Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans

Feasibility Assessment of Multitasking in MRI Neuroimaging Analysis: Tissue Segmentation, Cross-Modality Conversion and Bias correction

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

Automatic Pulmonary Artery-Vein Separation in CT Images using Twin-Pipe Network and Topology Reconstruction

CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning

Generation of COVID-19 Chest CT Scan Images using Generative Adversarial Networks

Joint Calibrationless Reconstruction and Segmentation of Parallel MRI

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction

Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI