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ORCIDJames M. Brown 0001
Person information
- affiliation: University of Lincoln, Lincolnshire, UK
- affiliation (2017 - 2018): Massachusetts General Hospital, Boston, MA, USA
- affiliation (2015 - 2017): MRC Harwell, UK
- affiliation (PhD 2015): University of Birmingham, UK
Other persons with the same name
- James M. Brown — disambiguation page
Other persons with a similar name
- J. Thomas Brown (aka: James Thomas Brown)
- James Brown — disambiguation page
- James B. Brown
- James D. Brown
- James E. C. Brown
- James R. Brown
- James W. Brown
- James W. H. Brown
- James A. Brown 0001 — IBM Santa Teresa Laboratory, San Jose, CA, USA
- James Scott-Brown
- show all similar names
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2020 – today
- 2024
[j9]Joshua E. Mckone, Tryphon Lambrou
, Xujiong Ye, James M. Brown:
Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden. Frontiers Comput. Sci. 6 (2024)- [c7]Kimberley M. Bird, Xujiong Ye, Alan M. Race, James M. Brown:
Pushing the Limits of Cell Segmentation Models for Imaging Mass Cytometry. ISBI 2024: 1-5 - [c6]Muhammad Moazzam Jawaid, Rasneer Sonia Bains, Sara Wells, James M. Brown:
Hierarchical Multi-label Learning for Musculoskeletal Phenotyping in Mice. MIUA (2) 2024: 425-437 - [c5]Andy Perrett, James M. Brown, Petra Bosilj:
The Benefits of Ordinal Regression Under Domain Shift. TAROS (1) 2024: 53-59 - [i12]Kimberley M. Bird, Xujiong Ye, Alan M. Race, James M. Brown:
Pushing the limits of cell segmentation models for imaging mass cytometry. CoRR abs/2402.04446 (2024) - 2023
- [j8]Ezechukwu I Nwokedi, Rasneer Sonia Bains, Luc M. Bidaut, Xujiong Ye, Sara Wells, James M. Brown:
Dual-Stream Spatiotemporal Networks with Feature Sharing for Monitoring Animals in the Home Cage. Sensors 23(23): 9532 (2023) - [j7]Andrew Perrett, Harry Pollard, Charlie Barnes, Mark Schofield, Lan Qie, Petra Bosilj, James M. Brown:
DeepVerge: Classification of roadside verge biodiversity and conservation potential. Comput. Environ. Urban Syst. 102: 101968 (2023) - 2022
- [i11]Ezechukwu I Nwokedi, Rasneer Sonia Bains, Luc M. Bidaut, Xujiong Ye, Sara Wells, James M. Brown:
Dual-stream spatiotemporal networks with feature sharing for monitoring animals in the home cage. CoRR abs/2206.00614 (2022) - [i10]Andrew Perrett, Charlie Barnes, Mark Schofield, Lan Qie, Petra Bosilj, James M. Brown:
DeepVerge: Classification of Roadside Verge Biodiversity and Conservation Potential. CoRR abs/2206.04271 (2022) - 2021
- [j6]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:
DeepNeuro: an open-source deep learning toolbox for neuroimaging. Neuroinformatics 19(1): 127-140 (2021) - [i9]Ezechukwu I Nwokedi, Rasneer Sonia Bains, Luc M. Bidaut, Sara Wells, Xujiong Ye, James M. Brown:
Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. CoRR abs/2106.00598 (2021) - [i8]Aaron S. Coyner, Praveer Singh, James M. Brown, Susan Ostmo, R. V. Paul Chan, Michael F. Chiang, Jayashree Kalpathy-Cramer, J. Peter Campbell:
Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations. CoRR abs/2109.13845 (2021) - 2020
- [j5]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:
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [j4]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:
Classification and comparison via neural networks. Neural Networks 118: 65-80 (2019) - [c4]Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller:
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Computer-Aided Diagnosis 2019: 109501R - [i7]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:
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. CoRR abs/1901.10074 (2019) - 2018
- [j3]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:
A bioimage informatics platform for high-throughput embryo phenotyping. Briefings Bioinform. 19(1): 41-51 (2018) - [j2]Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Distributed deep learning networks among institutions for medical imaging. J. Am. Medical Informatics Assoc. 25(8): 945-954 (2018) - [c3]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:
Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity. AMIA 2018 - [c2]Andrew Beers, Ken Chang, James M. Brown, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
Sequential neural networks for biologically-informed glioma segmentation. Image Processing 2018: 1057433 - [i6]Andrew Beers, James M. Brown, Ken Chang, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Jayashree Kalpathy-Cramer:
High-resolution medical image synthesis using progressively grown generative adversarial networks. CoRR abs/1805.03144 (2018) - [i5]Andrew Beers, James M. Brown, Ken Chang, Katharina Hoebel, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
DeepNeuro: an open-source deep learning toolbox for neuroimaging. CoRR abs/1808.04589 (2018) - [i4]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:
Deep feature transfer between localization and segmentation tasks. CoRR abs/1811.02539 (2018) - [i3]Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy:
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. CoRR abs/1812.07832 (2018) - 2017
- [j1]James M. Brown, Ewan Ross, Guillaume Desanti, Atif Saghir, Andy Clark, Chris Buckley, Andrew Filer, Amy Naylor, Ela Claridge:
Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models. Medical Image Anal. 40: 30-43 (2017) - [i2]Andrew Beers, Ken Chang, James M. Brown, Emmett Sartor, C. P. Mammen, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation. CoRR abs/1709.02967 (2017) - [i1]Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Institutionally Distributed Deep Learning Networks. CoRR abs/1709.05929 (2017) - 2015
- [b1]James M. Brown:
Articulated statistical shape models for the analysis of bone destruction in mouse models of rheumatoid arthritis. University of Birmingham, UK, 2015 - 2014
- [c1]James M. Brown, Amy Naylor, Chris Buckley, Andrew Filer, Ela Claridge:
3D Articulated Registration of the Mouse Hind Limb for Bone Morphometric Analysis in Rheumatoid Arthritis. WBIR 2014: 41-50
Coauthor Index
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