James M. Brown

James M. Brown

University of Lincoln

H-index: 27

Europe-United Kingdom

About James M. Brown

James M. Brown, With an exceptional h-index of 27 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Lincoln, specializes in the field of medical image analysis, image registration, image segmentation, deep learning, quantitative phenotyping.

His recent articles reflect a diverse array of research interests and contributions to the field:

Pushing the limits of cell segmentation models for imaging mass cytometry

Dual-stream spatiotemporal networks with feature sharing for monitoring animals in the home cage

Bavituximab decreases immunosuppressive myeloid-derived suppressor cells in newly diagnosed glioblastoma patients

Association of biomarker-based artificial intelligence with risk of racial bias in retinal images

DeepVerge: Classification of roadside verge biodiversity and conservation potential

Federated learning for multicenter collaboration in ophthalmology: improving classification performance in retinopathy of prematurity

External validation of a deep learning algorithm for plus disease classification on a multinational ROP dataset

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

James M. Brown Information

University

Position

Senior Lecturer |

Citations(all)

5340

Citations(since 2020)

5005

Cited By

1989

hIndex(all)

27

hIndex(since 2020)

26

i10Index(all)

35

i10Index(since 2020)

35

Email

University Profile Page

University of Lincoln

Google Scholar

View Google Scholar Profile

James M. Brown Skills & Research Interests

medical image analysis

image registration

image segmentation

deep learning

quantitative phenotyping

Top articles of James M. Brown

Title

Journal

Author(s)

Publication Date

Pushing the limits of cell segmentation models for imaging mass cytometry

arXiv preprint arXiv:2402.04446

Kimberley M Bird

Xujiong Ye

Alan M Race

James M Brown

2024/2/6

Dual-stream spatiotemporal networks with feature sharing for monitoring animals in the home cage

Sensors

Ezechukwu Israel Nwokedi

Rasneer Sonia Bains

Luc Bidaut

Xujiong Ye

Sara Wells

...

2023/11/30

Bavituximab decreases immunosuppressive myeloid-derived suppressor cells in newly diagnosed glioblastoma patients

Clinical Cancer Research

K Ina Ly

Leland G Richardson

Mofei Liu

Alona Muzikansky

Jonathan Cardona

...

2023/8/15

Association of biomarker-based artificial intelligence with risk of racial bias in retinal images

JAMA ophthalmology

Aaron S Coyner

Praveer Singh

James M Brown

Susan Ostmo

RV Paul Chan

...

2023/6/1

DeepVerge: Classification of roadside verge biodiversity and conservation potential

Computers, Environment and Urban Systems

Andrew Perrett

Harry Pollard

Charlie Barnes

Mark Schofield

Lan Qie

...

2023/6/1

Federated learning for multicenter collaboration in ophthalmology: improving classification performance in retinopathy of prematurity

Ophthalmology Retina

Charles Lu

Adam Hanif

Praveer Singh

Ken Chang

Aaron S Coyner

...

2022/8/1

External validation of a deep learning algorithm for plus disease classification on a multinational ROP dataset

European Heart Journal-Digital Health

Peder L Myhre

Chung-Lieh Hung

Matthew J Frost

Zhubo Jiang

Wouter Ouwerkerk

...

2024/1

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

arXiv preprint arXiv:2106.00598

Ezechukwu I Nwokedi

Rasneer S Bains

Luc Bidaut

Sara Wells

Xujiong Ye

...

2021/5/28

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

arXiv preprint arXiv:2109.13845

Aaron S Coyner

Praveer Singh

James M Brown

Susan Ostmo

RV Chan

...

2021/9/28

Applications of artificial intelligence for retinopathy of prematurity screening

Pediatrics

J Peter Campbell

Praveer Singh

Travis K Redd

James M Brown

Parag K Shah

...

2021/3/1

LAMA: automated image analysis for the developmental phenotyping of mouse embryos

Development

Neil R Horner

Shanmugasundaram Venkataraman

Chris Armit

Ramón Casero

James M Brown

...

2021/9/15

Deep learning for computer-aided diagnosis in ophthalmology: a review

James M Brown

Georgios Leontidis

2021/1/1

Evaluation of a novel retinopathy of prematurity severity scale applied by clinicians and deep learning

Ophthalmology

J Peter Campbell

Sang Jin Kim

James M Brown

Susan Ostmo

RV Paul Chan

...

2021/7

Evaluation of a Deep Learning–Derived Quantitative Retinopathy of Prematurity Severity Scale

Ophthalmology

J Peter Campbell

Sang Jin Kim

James M Brown

Susan Ostmo

RV Paul Chan

...

2021/7/1

Aggressive posterior retinopathy of prematurity: clinical and quantitative imaging features in a large North American Cohort

Ophthalmology

Kellyn N Bellsmith

James Brown

Sang Jin Kim

Isaac H Goldstein

Aaron Coyner

...

2020/8/1

DeepNeuro: an open-source deep learning toolbox for neuroimaging

Neuroinformatics

Andrew Beers

James Brown

Ken Chang

Katharina Hoebel

Jay Patel

...

2020/6/23

Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity

Journal of American Association for Pediatric Ophthalmology and Strabismus

Miles F Greenwald

Ian D Danford

Malika Shahrawat

Susan Ostmo

James Brown

...

2020/4/11

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

NPJ digital medicine

Matthew D Li

Ken Chang

Ben Bearce

Connie Y Chang

Ambrose J Huang

...

2020/3/26

Radiomics repeatability pitfalls in a scan-rescan MRI study of glioblastoma

Radiology: Artificial Intelligence

Katharina V Hoebel

Jay B Patel

Andrew L Beers

Ken Chang

Praveer Singh

...

2020/12/16

Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach

Translational Vision Science & Technology

Veysi M Yildiz

Peng Tian

Ilkay Yildiz

James M Brown

Jayashree Kalpathy-Cramer

...

2020/1/28

See List of Professors in James M. Brown University(University of Lincoln)

Co-Authors

H-index: 171
Bruce Rosen

Bruce Rosen

Harvard University

H-index: 66
Jayashree Kalpathy-Cramer

Jayashree Kalpathy-Cramer

Harvard University

H-index: 65
Deniz Erdogmus

Deniz Erdogmus

North Eastern University

H-index: 55
Jennifer Dy

Jennifer Dy

North Eastern University

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