3D Articulated Registration of the Mouse Hind Limb for Bone Morphometric Analysis in Rheumatoid Arthritis. - James M. Brown 001; Amy Naylor; Chris Buckley; Andrew Filer; Ela Claridge (WBIR, 2014)

Articulated statistical shape models for the analysis of bone destruction in mouse models of rheumatoid arthritis. - James M. Brown 001 (2015)

Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation. - Andrew Beers; Ken Chang; James M. Brown 001; Emmett Sartor; C. P. Mammen; Elizabeth R. Gerstner; Bruce R. Rosen; Jayashree Kalpathy-Cramer (CoRR, 2017)

Institutionally Distributed Deep Learning Networks. - Ken Chang; Niranjan Balachandar; Carson K. Lam; Darvin Yi; James M. Brown 001; Andrew Beers; Bruce R. Rosen; Daniel L. Rubin; Jayashree Kalpathy-Cramer (CoRR, 2017)

Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models. - James M. Brown 001; Ewan Ross; Guillaume Desanti; Atif Saghir; Andy Clark; Chris Buckley; Andrew Filer; Amy Naylor; Ela Claridge (Medical Image Anal., 2017)

Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity. - Aaron S. Coyner; Ryan Swan; James M. Brown 001; Jayashree Kalpathy-Cramer; Sang-Jin Kim; John Peter Campbell; Karyn Jonas; Susan Ostmo; R. V. P. Chan; Michael F. Chiang (AMIA, 2018)

Sequential neural networks for biologically-informed glioma segmentation. - Andrew Beers; Ken Chang; James M. Brown 001; Elizabeth R. Gerstner; Bruce R. Rosen; Jayashree Kalpathy-Cramer (Image Processing, 2018)

A bioimage informatics platform for high-throughput embryo phenotyping. - James M. Brown 001; 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; et al. (Briefings Bioinform., 2018)

High-resolution medical image synthesis using progressively grown generative adversarial networks. - Andrew Beers; James M. Brown 001; Ken Chang; J. Peter Campbell; Susan Ostmo; Michael F. Chiang; Jayashree Kalpathy-Cramer (CoRR, 2018)

DeepNeuro: an open-source deep learning toolbox for neuroimaging. - Andrew Beers; James M. Brown 001; Ken Chang; Katharina Hoebel; Elizabeth R. Gerstner; Bruce R. Rosen; Jayashree Kalpathy-Cramer (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 001 (CoRR, 2018)

Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. - Bruno Lecouat; Ken Chang; Chuan-Sheng Foo; Balagopal Unnikrishnan; James M. Brown 001; Houssam Zenati; Andrew Beers; Vijay Chandrasekhar 001; Jayashree Kalpathy-Cramer; Pavitra Krishnaswamy (CoRR, 2018)

Distributed deep learning networks among institutions for medical imaging. - Ken Chang; Niranjan Balachandar; Carson K. Lam; Darvin Yi; James M. Brown 001; Andrew Beers; Bruce R. Rosen; Daniel L. Rubin; Jayashree Kalpathy-Cramer (J. Am. Medical Informatics Assoc., 2018)

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. - Mara Graziani; James M. Brown 001; Vincent Andrearczyk; Veysi Yildiz; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Michael F. Chiang; Jayashree Kalpathy-Cramer; Henning Müller (Computer-Aided Diagnosis, 2019)

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. - Jin Chao; Ahmad Al Badawi; Balagopal Unnikrishnan; Jie Lin 001; Chan Fook Mun; James M. Brown 001; J. Peter Campbell; Michael F. Chiang; Jayashree Kalpathy-Cramer; Vijay Ramaseshan Chandrasekhar; Pavitra Krishnaswamy; Khin Mi Mi Aung (CoRR, 2019)

Classification and comparison via neural networks. - Ilkay Yildiz; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; James M. Brown 001; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (Neural Networks, 2019)

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 001; Praveer Singh; Katharina Viktoria Hoebel; Deniz Erdogmus; Stratis Ioannidis; William E. Palmer; et al. (npj Digit. Medicine, 2020)

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 001 (CoRR, 2021)

Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations. - Aaron S. Coyner; Praveer Singh; James M. Brown 001; Susan Ostmo; R. V. Paul Chan; Michael F. Chiang; Jayashree Kalpathy-Cramer; J. Peter Campbell (CoRR, 2021)

DeepNeuro: an open-source deep learning toolbox for neuroimaging. - Andrew Beers; James M. Brown 001; 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)

DeepVerge: Classification of Roadside Verge Biodiversity and Conservation Potential. - Andrew Perrett; Charlie Barnes; Mark Schofield; Lan Qie; Petra Bosilj; James M. Brown 001 (CoRR, 2022)

DeepVerge: Classification of roadside verge biodiversity and conservation potential. - Andrew Perrett; Harry Pollard; Charlie Barnes; Mark Schofield; Lan Qie; Petra Bosilj; James M. Brown 001 (Comput. Environ. Urban Syst., 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 001 (Sensors, 2023)

Pushing the Limits of Cell Segmentation Models for Imaging Mass Cytometry. - Kimberley M. Bird; Xujiong Ye; Alan M. Race; James M. Brown 001 (ISBI, 2024)

Hierarchical Multi-label Learning for Musculoskeletal Phenotyping in Mice. - Muhammad Moazzam Jawaid; Rasneer Sonia Bains; Sara Wells; James M. Brown 001 (MIUA (2), 2024)

The Benefits of Ordinal Regression Under Domain Shift. - Andy Perrett; James M. Brown 001; Petra Bosilj (TAROS (1), 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 001 (Frontiers Comput. Sci., 2024)

Deep histological synthesis from mass spectrometry imaging for multimodal registration. - Kimberley M. Bird; Xujiong Ye; Alan M. Race; James M. Brown 001 (CoRR, 2025)

Habitat Classification from Ground-Level Imagery Using Deep Neural Networks. - Hongrui Shi; Lisa Norton; Lucy Ridding; Simon Rolph; Tom August; Claire M. Wood; Lan Qie; Petra Bosilj; James M. Brown 001 (CoRR, 2025)