James M. Brown

According to our database, James M. Brown authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden.

Joshua E. Mckone, Tryphon Lambrou, Xujiong Ye, James M. Brown

Frontiers Comput. Sci., 2024

Hierarchical Multi-label Learning for Musculoskeletal Phenotyping in Mice.

Muhammad Moazzam Jawaid, Rasneer Sonia Bains, Sara Wells, James M. Brown

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

Pushing the Limits of Cell Segmentation Models for Imaging Mass Cytometry.

Kimberley M. Bird, Xujiong Ye, Alan M. Race, James M. Brown

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Dual-Stream Spatiotemporal Networks with Feature Sharing for Monitoring Animals in the Home Cage.

Ezechukwu I Nwokedi, Rasneer Sonia Bains, Luc M. Bidaut, Xujiong Ye, Sara Wells, James M. Brown

Sensors, December, 2023

DeepVerge: Classification of roadside verge biodiversity and conservation potential.

Andrew Perrett, Harry Pollard, Charlie Barnes, Mark Schofield, Lan Qie, Petra Bosilj, James M. Brown

Comput. Environ. Urban Syst., June, 2023

2022

DeepVerge: Classification of Roadside Verge Biodiversity and Conservation Potential.

Andrew Perrett, Charlie Barnes, Mark Schofield, Lan Qie, Petra Bosilj, James M. Brown

CoRR, 2022

2021

DeepNeuro: an open-source deep learning toolbox for neuroimaging.

Andrew Beers, James M. Brown, Ken Chang, Katharina Hoebel, Jay B. Patel, K. Ina Ly, Sara M. Tolaney, Priscilla K. Brastianos, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer

Neuroinformatics, 2021

Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations.

Aaron S. Coyner, Praveer Singh, James M. Brown, Susan Ostmo, R. V. Paul Chan, Michael F. Chiang, Jayashree Kalpathy-Cramer, J. Peter Campbell

CoRR, 2021

Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders.

Ezechukwu I Nwokedi, Rasneer Sonia Bains, Luc M. Bidaut, Sara Wells, Xujiong Ye, James M. Brown

CoRR, 2021

2020

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging.

Matthew D. Li, Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell, James M. Brown, Praveer Singh, Katharina Viktoria Hoebel, Deniz Erdogmus, Stratis Ioannidis, William E. Palmer, Michael F. Chiang, Jayashree Kalpathy-Cramer

npj Digit. Medicine, 2020

2019

Classification and comparison via neural networks.

Ilkay Yildiz, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, James M. Brown, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis

Neural Networks, 2019

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images.

Jin Chao, Ahmad Al Badawi, Balagopal Unnikrishnan, Jie Lin, Chan Fook Mun, James M. Brown, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Ramaseshan Chandrasekhar, Pavitra Krishnaswamy, Khin Mi Mi Aung

CoRR, 2019

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity.

Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018

Distributed deep learning networks among institutions for medical imaging.

Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer

J. Am. Medical Informatics Assoc., 2018

Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images.

Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy

CoRR, 2018

Deep feature transfer between localization and segmentation tasks.

Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown

CoRR, 2018

DeepNeuro: an open-source deep learning toolbox for neuroimaging.

Andrew Beers, James M. Brown, Ken Chang, Katharina Hoebel, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer

CoRR, 2018

High-resolution medical image synthesis using progressively grown generative adversarial networks.

Andrew Beers, James M. Brown, Ken Chang, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Jayashree Kalpathy-Cramer

CoRR, 2018

A bioimage informatics platform for high-throughput embryo phenotyping.

James M. Brown, Neil R. Horner, Thomas N. Lawson, Tanja Fiegel, Simon Greenaway, Hugh Morgan, Natalie Ring, Luis A. Santos, Duncan J. Sneddon, Lydia Teboul, Jennifer Vibert, Gagarine Yaikhom, Henrik Westerberg, Ann-Marie Mallon

Briefings Bioinform., 2018

Sequential neural networks for biologically-informed glioma segmentation.

Andrew Beers, Ken Chang, James M. Brown, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.

Aaron S. Coyner, Ryan Swan, James M. Brown, Jayashree Kalpathy-Cramer, Sang-Jin Kim, John Peter Campbell, Karyn Jonas, Susan Ostmo, R. V. P. Chan, Michael F. Chiang

Proceedings of the AMIA 2018, 2018

2017

Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models.

James M. Brown, Ewan Ross, Guillaume Desanti, Atif Saghir, Andy Clark, Chris Buckley, Andrew Filer, Amy Naylor, Ela Claridge

Medical Image Anal., 2017

Institutionally Distributed Deep Learning Networks.

Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer

CoRR, 2017

Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation.

Andrew Beers, Ken Chang, James M. Brown, Emmett Sartor, C. P. Mammen, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer

CoRR, 2017

2015

Articulated statistical shape models for the analysis of bone destruction in mouse models of rheumatoid arthritis.

James M. Brown

PhD thesis, 2015

2014

3D Articulated Registration of the Mouse Hind Limb for Bone Morphometric Analysis in Rheumatoid Arthritis.

James M. Brown, Amy Naylor, Chris Buckley, Andrew Filer, Ela Claridge

Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014