医学 AI - arXivDaily 专题

2303.08224 2023-03-16 eess.IV cs.AI cs.CV cs.LG q-bio.QM 82%

Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI

Nikhil J. Dhinagar, Vignesh Santhalingam, Katherine E. Lawrence, Emily Laltoo, Paul M. Thompson

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

2209.07590 2023-03-07 eess.IV cs.CV cs.LG q-bio.NC 82%

Prediction of Gender from Longitudinal MRI data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period

Yuda Bi, Anees Abrol, Zening Fu, Jiayu Chen, Jingyu Liu, Vince Calhoun

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

Comments I submitted the wrong paper

2302.12835 2023-02-28 eess.IV cs.CV cs.LG q-bio.QM 82%

Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI

Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli

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

2208.13774 2022-12-26 eess.IV cs.CV 82%

Boundary-Aware Network for Abdominal Multi-Organ Segmentation

Shishuai Hu, Zehui Liao, Yong Xia

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

Comments Technical report. Solution to Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022 (AMOS 2022). arXiv admin note: substantial text overlap with arXiv:2208.13338

2210.08083 2022-10-18 cs.CV cs.GR cs.LG 82%

Reference Based Color Transfer for Medical Volume Rendering

Sudarshan Devkota, Summanta Pattanaik

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

2209.07843 2022-09-19 eess.IV cs.CV 82%

3D Matting: A Soft Segmentation Method Applied in Computed Tomography

Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge

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

Comments 12 pages, 7 figures

2208.02555 2022-08-05 eess.IV cs.CV 82%

Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT

Rosa C. J. Kraaijveld, Marielle E. P. Philippens, Wietse S. C. Eppinga, Ina M. Jürgenliemk-Schulz, Kenneth G. A. Gilhuijs, Petra S. Kroon, Bas H. M. van der Velden

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

Comments Accepted as: Kraaijveld, R.C.J., Philippens, M.E.P., Eppinga, W.S.C., Jürgenliemk-Schulz, I.M., Gilhuijs, K.G.A., Kroon, P.S., van der Velden, B.H.M. "Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT." MICCAI workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC), 2022

2205.04227 2022-05-10 eess.IV cs.CV 82%

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin

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

Comments 12 pages, 7 figures

2202.04823 2022-02-11 q-bio.QM cs.CV cs.LG eess.IV 82%

Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating

Ikbeom Jang, Garrison Danley, Ken Chang, Jayashree Kalpathy-Cramer

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

Comments 5 pages, 2 figures, NeurIPS Data-Centric AI Workshop 2021

2111.03848 2021-11-09 eess.IV cs.AI cs.CV 82%

Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention

Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian, Bartłomiej W. Papież

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

Comments 13 pages, 3 figures, 2 tables. To appear in Head and Neck Tumor Segmentation in PET/CT: The HECKTOR Challenge,Valentin Oreiller et al., Medical Image Analysis,2021, HECKTOR 2021, Lecture Notes in Computer Science, Springer

2109.02785 2021-09-08 q-bio.QM cs.CV cs.LG eess.IV 82%

Analysis of MRI Biomarkers for Brain Cancer Survival Prediction

Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall

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

2004.02317 2021-06-10 eess.IV cs.CV 82%

Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI

Maria A. Zuluaga, M. Jorge Cardoso, Sébastien Ourselin

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

Journal ref Workshop on RV Segmentation Challenge in Cardiac MRI in conjunction with Medical Image Computing and Computer-Assisted Intervention 2012

2105.06141 2021-05-14 q-bio.QM cs.CV cs.LG eess.IV physics.med-ph 82%

A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data

Matteo Chieregato, Fabio Frangiamore, Mauro Morassi, Claudia Baresi, Stefania Nici, Chiara Bassetti, Claudio Bnà, Marco Galelli

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

Comments 16 pages, 10 figures, 2 supplementary tables

2009.12280 2021-03-26 cs.CV cs.LG stat.ML 82%

Locally orderless tensor networks for classifying two- and three-dimensional medical images

Raghavendra Selvan, Silas Ørting, Erik B Dam

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

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) (see https://melba-journal.org). Source code at https://github.com/raghavian/LoTeNet_pytorch/

Journal ref Journal of Machine Learning for Biomedical Imaging. 2021:5. pp 1-21. Special Issue: Medical Imaging with Deep Learning (MIDL) 2020

2101.11254 2021-01-28 eess.IV cs.CV 82%

Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention

Haochen Mei, Wenhui Lei, Ran Gu, Shan Ye, Zhengwentai Sun, Shichuan Zhang, Guotai Wang

专题命中医学影像：medical image(abstract)；MRI(abstract)；CT(abstract)；pathology(abstract)

2012.04336 2020-12-09 eess.IV cs.CV 82%

Interpretable deep learning regression for breast density estimation on MRI

Bas H. M. van der Velden, Max A. A. Ragusi, Markus H. A. Janse, Claudette E. Loo, Kenneth G. A. Gilhuijs

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

Comments This paper has been published as: Van der Velden, B.H.M., Ragusi, M.A.A., Janse, M.H.A., Loo, C.E., Gilhuijs, K.G.A. "Interpretable deep learning regression for breast density estimation on MRI." Medical Imaging 2020: Computer-Aided Diagnosis. Vol. 11314. International Society for Optics and Photonics, 2020

2007.01236 2020-12-08 q-bio.QM 82%

Calibration of Biophysical Models for tau-Protein Spreading in Alzheimer's Disease from PET-MRI

Klaudius Scheufele, Shashank Subramanian, George Biros

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

Comments 22 pages, 11 figures

2011.05410 2020-11-12 eess.IV cs.CV cs.LG q-bio.QM 82%

Glioma Classification Using Multimodal Radiology and Histology Data

Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan

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

2009.13583 2020-09-30 eess.IV cs.CV 82%

Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net

Chuanbo Wang, Ye Guo, Wei Chen, Zeyun Yu

专题命中医学影像：medical image(abstract)；MRI(abstract)；diagnosis(abstract)；biomedical(abstract)

2007.00126 2020-07-02 q-bio.NC 82%

Functional MRI applications for psychiatric disease subtyping: a review

Lucas Miranda, Riya Paul, Benno Pütz, Bertram Müller-Myhsok

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

Comments 16 pages, 2 figures, 3 tables

2006.12852 2020-06-24 eess.IV cs.CV cs.LG q-bio.NC 82%

Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI

Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab

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

2006.02140 2020-06-04 q-bio.PE nlin.AO physics.soc-ph stat.AP 82%

Combining PCR and CT testing for COVID

Chen Shen, Ron Mark, Nolan J. Kagetsu, Anton S. Becker, Yaneer Bar-Yam

专题命中医学影像：CT(title,abstract)；diagnosis(abstract)；分类 q-bio

Comments 6 pages, 14 figures

2001.08570 2020-01-24 q-bio.QM cs.CV cs.LG eess.IV stat.AP stat.ML 82%

Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study

Nathaniel Braman, Mohammed El Adoui, Manasa Vulchi, Paulette Turk, Maryam Etesami, Pingfu Fu, Kaustav Bera, Stylianos Drisis, Vinay Varadan, Donna Plecha, Mohammed Benjelloun, Jame Abraham, Anant Madabhushi

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

Comments Braman and El Adoui contributed equally to this work. 33 pages, 3 figures in main text

1910.10542 2019-10-24 eess.IV cs.CV 82%

Deep generative model-driven multimodal prostate segmentation in radiotherapy

Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain, Paul Michael Walker, Alain Lalande

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

Comments 8 pages, camera ready paper, accepted for Artificial Intelligence in Radiation Therapy (AIRT), in conjunction with MICCAI 2019

1709.06563 2018-05-21 q-bio.NC 82%

The Impact of Speed and Bias on the Cognitive Processes of Experts and Novices in Medical Image Decision-making

Jennifer S. Trueblood, William R. Holmes, Adam C. Seegmiller, Jonathan Douds, Margaret Compton, Megan Woodruff, Wenrui Huang, Charles Stratton, Quentin Eichbaum

专题命中医学影像：medical image(title,abstract)；pathology(abstract)；分类 q-bio

1704.01350 2017-08-21 q-bio.NC 82%

Resting-state functional connectivity-based biomarkers and functional MRI-based neurofeedback for psychiatric disorders: a challenge for developing theranostic biomarkers

Takashi Yamada, Ryu-ichiro Hashimoto, Noriaki Yahata, Naho Ichikawa, Yujiro Yoshihara, Yasumasa Okamoto, Nobumasa Kato, Hidehiko Takahashi, Mitsuo Kawato

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

Comments 46 pages, 5 figures

1604.07287 2016-11-10 physics.med-ph q-bio.NC 82%

Diffusion MRI microstructure models with in vivo human brain Connectom data: results from a multi-group comparison

Uran Ferizi, Benoit Scherrer, Torben Schneider, Mohammad Alipoor, Odin Eufracio, Rutger H. J. Fick, Rachid Deriche, Markus Nilsson, Ana K. Loya-Olivas, Mariano Rivera, Dirk H. J. Poot, Alonso Ramirez-Manzanares, Jose L. Marroquin, Ariel Rokem, Christian Pötter, Robert F. Dougherty, Ken Sakaie, Claudia Wheeler-Kingshott, Simon K. Warfield, Thomas Witzel, Lawrence L. Wald, José G. Raya, Daniel C. Alexander

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

2507.23027 2026-06-19 cs.CV cs.AI 82%

Recovering Diagnostic Value: Super-Resolution-Aided Echocardiographic Classification in Resource-Constrained Imaging

恢复诊断价值：超分辨率辅助的资源受限成像中的心电图分类

Krishan Agyakari Raja Babu, Om Prabhu, Annu, Mohanasankar Sivaprakasam

机构 * Indian Institute of Technology Madras（印度理工学院马德拉斯分校）； All India Institute of Medical Sciences（全印度医学科学研究所）； Indian Institute of Technology Hyderabad（印度理工学院海得拉巴分校）

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

AI总结本文研究了基于深度学习的超分辨率技术在低质量2D超声心动图分类中的应用，通过CAMUS数据集验证了SRGAN和SRResNet在提升分类准确率和计算效率方面的有效性。

Comments Accepted at the MICCAI Workshop on "Medical Image Computing in Resource Constrained Settings & Knowledge Interchange (MIRASOL)" 2025

2303.01491 2023-03-03 eess.IV cs.LG q-bio.QM 82%

Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models

Umang Gupta, Tamoghna Chattopadhyay, Nikhil Dhinagar, Paul M. Thompson, Greg Ver Steeg, The Alzheimer's Disease Neuroimaging Initiative

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

Comments To appear at IEEE International Symposium on Biomedical Imaging 2023 (ISBI 2023). Code is available at https://github.com/umgupta/2d-slice-set-networks

2110.04140 2021-10-11 cs.CV eess.IV physics.med-ph q-bio.NC 82%

Rapid head-pose detection for automated slice prescription of fetal-brain MRI

Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, Leah Morgan, Paul Wighton, M. Dylan Tisdall, Martin Reuter, Elfar Adalsteinsson, P. Ellen Grant, Lawrence L. Wald, André J. W. van der Kouwe

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

Comments 19 pages, 10 figures, 2 tables, fetal MRI, head-pose detection, MSER, scan automation, scan prescription, slice positioning, final published version

Journal ref Int J Imaging Syst Technol, 31 (3), 2021, 1136-1154

1. 医学影像 22645 篇

Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI

Prediction of Gender from Longitudinal MRI data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period

Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI

Boundary-Aware Network for Abdominal Multi-Organ Segmentation

Reference Based Color Transfer for Medical Volume Rendering

3D Matting: A Soft Segmentation Method Applied in Computed Tomography

Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating

Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention

Analysis of MRI Biomarkers for Brain Cancer Survival Prediction

Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI

A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data

Locally orderless tensor networks for classifying two- and three-dimensional medical images

Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention

Interpretable deep learning regression for breast density estimation on MRI

Calibration of Biophysical Models for tau-Protein Spreading in Alzheimer's Disease from PET-MRI

Glioma Classification Using Multimodal Radiology and Histology Data

Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net

Functional MRI applications for psychiatric disease subtyping: a review

Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI

Combining PCR and CT testing for COVID

Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study

Deep generative model-driven multimodal prostate segmentation in radiotherapy

The Impact of Speed and Bias on the Cognitive Processes of Experts and Novices in Medical Image Decision-making

Resting-state functional connectivity-based biomarkers and functional MRI-based neurofeedback for psychiatric disorders: a challenge for developing theranostic biomarkers

Diffusion MRI microstructure models with in vivo human brain Connectom data: results from a multi-group comparison

Recovering Diagnostic Value: Super-Resolution-Aided Echocardiographic Classification in Resource-Constrained Imaging

Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models

Rapid head-pose detection for automated slice prescription of fetal-brain MRI