医学 AI

Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease

Junhao Wen, Jorge Samper-Gonzalez, Simona Bottani, Alexandre Routier, Ninon Burgos, Thomas Jacquemont, Sabrina Fontanella, Stanley Durrleman, Stephane Epelbaum, Anne Bertrand, Olivier Colliot

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

Comments 51 pages, 5 figure and 6 tables

DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning

Fernanda L. Ribeiro, Steffen Bollmann, Alexander M. Puckett

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

Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network

Shengyu Zhao, Tingfung Lau, Ji Luo, Eric I-Chao Chang, Yan Xu

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

Comments Journal of Biomedical and Health Informatics

Journal ref IEEE Journal of Biomedical and Health Informatics (Volume: 24, Issue: 5, May 2020)

Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images

V. Rajinikanth, Nilanjan Dey, Alex Noel Joseph Raj, Aboul Ella Hassanien, K. C. Santosh, N. Sri Madhava Raja

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

Comments 13 pages

Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI

Vishwesh Nath, Sudhir K. Pathak, Kurt G. Schilling, Walt Schneider, Bennett A. Landman

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

Comments 10 pages, 7 figures

Scanner Invariant Representations for Diffusion MRI Harmonization

Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson

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

Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Network

Nathaniel Braman, David Beymer, Ehsan Dehghan

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

Comments Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 Medical Imaging Meets NeurIPS Workshop at NeurIPS 2018

Deep Learning in Medical Image Registration: A Survey

Grant Haskins, Uwe Kruger, Pingkun Yan

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

Comments Accepted for publication by Machine Vision and Applications on January 8, 2020

Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI

Sebastiano Barbieri, Oliver J. Gurney-Champion, Remy Klaassen, Harriet C. Thoeny

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

Journal ref Magnetic Resonance in Medicine 2019

Estimating regional cerebral blood flow using resting-state functional MRI via machine learning

Ganesh B Chand, Mohamad Habes, Sudipto Dolui, John A Detre, David A Wolk, Christos Davatzikos

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

Comments 20 pages, 6 main figures or tables, 4 supplementary figures or tables

Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method

Tongda Xu, Xiyan Cai, Yao Wang, Xiuyuan Wang, Sohae Chung, Els Fieremans, Joseph Rath, Steven Flanagan, Yvonne W Lui

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

Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning

Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo

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

Comments SPIE Medical Imaging 2020

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival

Emily E Diller, Sha Cao, Beth Ey, Robert Lober, Jason G Parker

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

Comments 13 pages, 3 figures, 5 tables

Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI

Cian M. Scannell, Piet van den Bosch, Amedeo Chiribiri, Jack Lee, Marcel Breeuwer, Mitko Veta

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

Comments Medical Imaging with Deep Learning: MIDL 2019 Extended Abstract Track. MIDL 2019 [arXiv:1907.08612]

Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images

Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati

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

Automating Whole Brain Histology to MRI Registration: Implementation of a Computational Pipeline

Maryana Alegro, Eduardo J. L. Alho, Maria da Graca Morais Martin, Lea Teneholz Grinberg, Helmut Heinsen, Roseli de Deus Lopes, Edson Amaro-Jr, Lilla Zöllei

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

PZnet: Efficient 3D ConvNet Inference on Manycore CPUs

Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski, Kai Li, H. Sebastian Seung

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

A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data

Abdullah Nazib, Clinton Fookes, Dimitri Perrin

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

Automatic, fast and robust characterization of noise distributions for diffusion MRI

Samuel St-Jean, Alberto De Luca, Max A. Viergever, Alexander Leemans

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

Comments v2: added publisher DOI statement, fixed text typo in appendix A2

Journal ref St-Jean S. et al. (2018) Automatic, Fast and Robust Characterization of Noise Distributions for Diffusion MRI. In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2018. LNCS, vol 11070. Springer, Cham

Learning Based Segmentation of CT Brain Images: Application to Post-Operative Hydrocephalic Scans

Venkateswararao Cherukuri, Peter Ssenyonga, Benjamin C. Warf, Abhaya V. Kulkarni, Vishal Monga, Steven J. Schiff

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

Comments IEEE Transactions on Biomedical Engineering, 2018

Journal ref IEEE Transactions on Biomedical Engineering 65.8 (2018): 1871-1884

Building medical image classifiers with very limited data using segmentation networks

Ken C. L. Wong, Tanveer Syeda-Mahmood, Mehdi Moradi

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

Comments This paper was accepted by Medical Image Analysis

Journal ref Medical Image Analysis 49 (2018) 105-116

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

Dong Yang, Daguang Xu, S. Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris Metaxas, Dorin Comaniciu

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

Comments Accepted by MICCAI 2017

Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network

Majd Zreik, Tim Leiner, Bob D. de Vos, Robbert W. van Hamersvelt, Max A. Viergever, Ivana Isgum

专题命中 医学影像 ：CT(title,abstract)；分类 cs.CV；biomedical(comments)

Comments This work has been published as: Zreik, M., Leiner, T., de Vos, B. D., van Hamersvelt, R. W., Viergever, M. A., Išgum, I. (2016, April). Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks. In Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on (pp. 40-43). IEEE

Unified Heat Kernel Regression for Diffusion, Kernel Smoothing and Wavelets on Manifolds and Its Application to Mandible Growth Modeling in CT Images

Moo K. Chung, Anqi Qiu, Seongho Seo, Houri K. Vorperian

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

Comments Accepted in Medical Image Analysis

Journal ref Medical Image Analysis 2015 22:63-76

Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising

Samuel St-Jean, Pierrick Coupé, Maxime Descoteaux

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

Comments Code available : https://github.com/samuelstjean/nlsam Datasets available : https://github.com/samuelstjean/nlsam_data, Medical Image Analysis, 2016

Journal ref Medical Image Analysis , Volume 32 , 115 - 130, 2016

Automatic symmetry based cluster approach for anomalous brain identification in PET scan image : An Analysis

A. Meena, K. Raja

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

Comments International Conference on Mathematics and Computer Science: ICMCS 2011,ISBN: 978-81-920490-0-7, January 2011,pp.no.387 - 391

A New Approach to Lung Image Segmentation using Fuzzy Possibilistic C-Means Algorithm

M. Gomathi, P. Thangaraj

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

Comments IEEE Publication format, ISSN 1947 5500, http://sites.google.com/site/ijcsis/

Journal ref IJCSIS, Vol. 7 No. 3, March 2010, 222-228

Anticipatory Digital Twins for Online Head-and-Neck Adaptive Proton Therapy via Foundation-Model Registration

基于 foundation-model 配准的头颈在线自适应质子治疗的 anticipatory 数字孪生技术

Yizhou Wu, Yuheng Li, Xiaofeng Yang, Chih-Wei Chang

专题命中 医学影像 ：CT(summary_cn,abstract)；medical image(comments)

AI总结 本研究提出基于 foundation-model 配准的数字孪生框架，通过跨患者迁移解剖变化合成预测CT，可提升头颈自适应质子治疗的匹配度，无需重复成像。

Comments Accepted for publication in the Proceedings of the 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026), Workshop on Digital Twins for Healthcare (DT4H)

Magnetic resonance imaging assessment of the suitability and consistency of radiotherapy treatment positioning achieved using intra-oral stents

磁共振成像评估使用口内支架实现的放射治疗定位的适宜性和一致性

Tanya Kairn, Philip Chan, Benjamin Chua, Susannah Cleland, Jodi Dawes, Lizbeth Kenny, Charles Y. Lin, William R. McDowall, Tania Poroa, Scott B. Crowe

专题命中 医学影像 ：MRI(summary_cn,abstract)；biomedical(comments)

AI总结 通过MRI比较不同口内支架对解剖分离度和定位重复性的影响，发现3D打印模块化支架（含硬PLA和柔性TPU）效果最佳。

Comments 7 pages, 1 figure, accepted for publication in the IFMBE Proceedings on the World Congress on Medical Physics and Biomedical Engineering 2022

Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection

Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf

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

Comments Accepted for publication in the Journal of Machine Learning for Biomedical Imaging (MELBA)

Journal ref https://www.melba-journal.org/papers/2022:030.html