David C Hogg

David C Hogg

University of Leeds

H-index: 47

Europe-United Kingdom

About David C Hogg

David C Hogg, With an exceptional h-index of 47 and a recent h-index of 19 (since 2020), a distinguished researcher at University of Leeds, specializes in the field of Computer Vision, Artificial Intelligence, Robotics.

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

Automated Growth Rate Measurement of the Facet Surfaces of Single Crystals of the β-Form of l-Glutamic Acid Using Machine Learning Image Processing

Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark

Mapping glacial sediment plumes in the Antarctic Peninsula using deep learning

Self-supervised 3d human pose estimation from a single image

Delineating giant Antarctic icebergs with Deep Learning

Incident cardiovascular, renal, metabolic diseases and death in individuals identified for risk-guided atrial fibrillation screening: a nationwide cohort study

Prediction models for heart failure in the community: A systematic review and meta‐analysis

Mapping the extent of giant Antarctic icebergs with deep learning

David C Hogg Information

University

Position

___

Citations(all)

9044

Citations(since 2020)

1761

Cited By

7851

hIndex(all)

47

hIndex(since 2020)

19

i10Index(all)

122

i10Index(since 2020)

45

Email

University Profile Page

University of Leeds

Google Scholar

View Google Scholar Profile

David C Hogg Skills & Research Interests

Computer Vision

Artificial Intelligence

Robotics

Top articles of David C Hogg

Title

Journal

Author(s)

Publication Date

Automated Growth Rate Measurement of the Facet Surfaces of Single Crystals of the β-Form of l-Glutamic Acid Using Machine Learning Image Processing

Crystal Growth & Design

Chen Jiang

Cai Y Ma

Thomas A Hazlehurst

Thomas P Ilett

Alexander SM Jackson

...

2024/4/5

Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark

Proceedings of the AAAI Conference on Artificial Intelligence

Fangjun Li

David C Hogg

Anthony G Cohn

2024/3/24

Mapping glacial sediment plumes in the Antarctic Peninsula using deep learning

Benjamin Wallis

Anna Hogg

David Hogg

2024/3/7

Self-supervised 3d human pose estimation from a single image

Jose Sosa

David Hogg

2023

Delineating giant Antarctic icebergs with Deep Learning

EGU General Assembly Conference Abstracts

Anne Braakmann-Folgmann

Andrew Shepherd

David Hogg

Ella Redmond

2023/5

Incident cardiovascular, renal, metabolic diseases and death in individuals identified for risk-guided atrial fibrillation screening: a nationwide cohort study

Open Heart

Jianhua Wu

Ramesh Nadarajah

Yoko M Nakao

Kazuhiro Nakao

David Hogg

...

2023/7/1

Prediction models for heart failure in the community: A systematic review and meta‐analysis

Ramesh Nadarajah

Tanina Younsi

Elizabeth Romer

Keerthenan Raveendra

Yoko M Nakao

...

2023/10

Mapping the extent of giant Antarctic icebergs with deep learning

The Cryosphere

Anne Braakmann-Folgmann

Andrew Shepherd

David Hogg

Ella Redmond

2023/11/9

Mapping Antarctic crevasses and their evolution with deep learning applied to satellite radar imagery

The Cryosphere Discussions

Trystan Surawy-Stepney

Anna E Hogg

Stephen L Cornford

David C Hogg

2023/3/31

Design descriptions in the development of machine learning based design tools

Proceedings of the Design Society

Alison McKay

Thomas A Hazlehurst

Alan de Pennington

David C Hogg

2023/7

Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network

arXiv preprint arXiv:2303.16564

Rebecca S Stone

Nishant Ravikumar

Andrew J Bulpitt

David C Hogg

2023/3/29

Of mice and pose: 2d mouse pose estimation from unlabelled data and synthetic prior

Jose Sosa

Sharn Perry

Jane Alty

David Hogg

2023/9/21

Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task

Rebecca S Stone

Pedro E Chavarrias-Solano

Andrew J Bulpitt

David C Hogg

Sharib Ali

2023/10/8

A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior

Jose Sosa

David Hogg

2023

Prediction of short-term atrial fibrillation risk using primary care electronic health records

Heart

Ramesh Nadarajah

Jianhua Wu

David Hogg

Keerthenan Raveendra

Yoko M Nakao

...

2023/7/1

Future Innovations in Novel Detection for Atrial Fibrillation (FIND-AF): pilot study of an electronic health record machine learning algorithm-guided intervention to identify …

Open Heart

Ramesh Nadarajah

Ali Wahab

Catherine Reynolds

Keerthenan Raveendra

Deborah Askham

...

2023/9/1

3D shape reconstruction of semi-transparent worms

Thomas P Ilett

Omer Yuval

Thomas Ranner

Netta Cohen

David C Hogg

2023

Development, validation and outcomes associated with a risk prediction algorithm for incident atrial fibrillation: retrospective national cohort study of 2 081 139 individuals

Europace

Doctor R Nadarajah

J Wu

D Hogg

Mr K Raveendra

Doctor Y Nakao

...

2023/6

Application of convolutional neural networks to recognise gait abnormalities in dogs.

Tsutomu Inamoto

Yoshinobu Higami

2019/6/23

Epistemic uncertainty-weighted loss for visual bias mitigation

Rebecca S Stone

Nishant Ravikumar

Andrew J Bulpitt

David C Hogg

2022

See List of Professors in David C Hogg University(University of Leeds)

Co-Authors

H-index: 194
Andrew Zisserman

Andrew Zisserman

University of Oxford

H-index: 58
Anthony (Tony) G Cohn

Anthony (Tony) G Cohn

University of Leeds

H-index: 52
David Mason

David Mason

University of Reading

H-index: 35
Dima Damen

Dima Damen

University of Bristol

H-index: 32
Derek Magee

Derek Magee

University of Leeds

H-index: 23
Owen Ashby Johnson

Owen Ashby Johnson

University of Leeds

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