James M. Brown

32 papers B 1Misc 1Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep histological synthesis from mass spectrometry imaging for multimodal registration. CoRR Kimberley M. Bird, Xujiong Ye, Alan M. Race, James M. Brown
2025	J	`jnl`	Habitat Classification from Ground-Level Imagery Using Deep Neural Networks. CoRR Hongrui Shi, Lisa Norton, Lucy Ridding, Simon Rolph, Tom August, Claire M. Wood, Lan Qie, Petra Bosilj, James M. Brown
2025	J	`jnl`	Hierarchical Deep Learning for Abnormality Classification in Mouse Skeleton Using Multiview X-Ray Images: Convolutional Autoencoders Versus ConvNeXt. J. Imaging Muhammad Moazzam Jawaid, Rasneer S. Bains, Sara Wells, James M. Brown
2024	—	`conf`	Hierarchical Multi-label Learning for Musculoskeletal Phenotyping in Mice. MIUA (2) Muhammad Moazzam Jawaid, Rasneer Sonia Bains, Sara Wells, James M. Brown
2024	—	`conf`	Pushing the Limits of Cell Segmentation Models for Imaging Mass Cytometry. ISBI Kimberley M. Bird, Xujiong Ye, Alan M. Race, James M. Brown
2024	J	`jnl`	Pushing the limits of cell segmentation models for imaging mass cytometry. CoRR Kimberley M. Bird, Xujiong Ye, Alan M. Race, James M. Brown
2024	—	`conf`	The Benefits of Ordinal Regression Under Domain Shift. TAROS (1) Andy Perrett, James M. Brown, Petra Bosilj
2024	J	`jnl`	Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden. Frontiers Comput. Sci. Joshua E. Mckone, Tryphon Lambrou, Xujiong Ye, James M. Brown
2023	J	`jnl`	DeepVerge: Classification of roadside verge biodiversity and conservation potential. Comput. Environ. Urban Syst. Andrew Perrett, Harry Pollard, Charlie Barnes, Mark Schofield, Lan Qie, Petra Bosilj, James M. Brown
2023	J	`jnl`	Dual-Stream Spatiotemporal Networks with Feature Sharing for Monitoring Animals in the Home Cage. Sensors Ezechukwu I Nwokedi, Rasneer Sonia Bains, Luc M. Bidaut, Xujiong Ye, Sara Wells, James M. Brown
2022	J	`jnl`	DeepVerge: Classification of Roadside Verge Biodiversity and Conservation Potential. CoRR Andrew Perrett, Charlie Barnes, Mark Schofield, Lan Qie, Petra Bosilj, James M. Brown
2022	J	`jnl`	Dual-stream spatiotemporal networks with feature sharing for monitoring animals in the home cage. CoRR Ezechukwu I Nwokedi, Rasneer S. Bains, Luc M. Bidaut, Xujiong Ye, Sara Wells, James M. Brown
2021	J	`jnl`	DeepNeuro: an open-source deep learning toolbox for neuroimaging. Neuroinformatics 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
2021	J	`jnl`	Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations. CoRR Aaron S. Coyner, Praveer Singh, James M. Brown, Susan Ostmo, R. V. Paul Chan, Michael F. Chiang, Jayashree Kalpathy-Cramer, J. Peter Campbell
2021	J	`jnl`	Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. CoRR Ezechukwu I Nwokedi, Rasneer S. Bains, Luc M. Bidaut, Sara Wells, Xujiong Ye, James M. Brown
2020	J	`jnl`	Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digit. Medicine 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
2019	J	`jnl`	CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. CoRR 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
2019	J	`jnl`	Classification and comparison via neural networks. 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
2019	—	`conf`	Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Computer-Aided Diagnosis Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller
2018	J	`jnl`	A bioimage informatics platform for high-throughput embryo phenotyping. Briefings Bioinform. 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
2018	Misc	`conf`	Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity. AMIA 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
2018	J	`jnl`	Deep feature transfer between localization and segmentation tasks. CoRR 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
2018	J	`jnl`	DeepNeuro: an open-source deep learning toolbox for neuroimaging. CoRR Andrew Beers, James M. Brown, Ken Chang, Katharina Hoebel, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer
2018	J	`jnl`	Distributed deep learning networks among institutions for medical imaging. J. Am. Medical Informatics Assoc. Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2018	J	`jnl`	High-resolution medical image synthesis using progressively grown generative adversarial networks. CoRR Andrew Beers, James M. Brown, Ken Chang, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Jayashree Kalpathy-Cramer
2018	J	`jnl`	Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. CoRR Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy
2018	B	`conf`	Sequential neural networks for biologically-informed glioma segmentation. Image Processing Andrew Beers, Ken Chang, James M. Brown, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer
2017	J	`jnl`	Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models. Medical Image Anal. James M. Brown, Ewan Ross, Guillaume Desanti, Atif Saghir, Andy Clark, Chris Buckley, Andrew Filer, Amy Naylor, Ela Claridge
2017	J	`jnl`	Institutionally Distributed Deep Learning Networks. CoRR Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2017	J	`jnl`	Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation. CoRR Andrew Beers, Ken Chang, James M. Brown, Emmett Sartor, C. P. Mammen, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer
2015	—	`—`	Articulated statistical shape models for the analysis of bone destruction in mouse models of rheumatoid arthritis. James M. Brown
2014	—	`conf`	3D Articulated Registration of the Mouse Hind Limb for Bone Morphometric Analysis in Rheumatoid Arthritis. WBIR James M. Brown, Amy Naylor, Chris Buckley, Andrew Filer, Ela Claridge