Haris Shuaib

Haris Shuaib

King's College

H-index: 9

North America-United States

About Haris Shuaib

Haris Shuaib, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at King's College, specializes in the field of Computer-Aided Diagnosis, Machine Learning, Medical Imaging, Medical Devices.

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

AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study

P13. 10. A PREDICTING SURVIVAL OF GLIOBLASTOMAAFTER RADIOTHERAPY USING DEEP LEARNING AND NEUROIMAGING IN A MULTI-CENTRE COHORT

Validating transformers for redaction of text from electronic health records in real-world healthcare

Federated learning enables big data for rare cancer boundary detection (vol 13, 7346, 2022)

Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium

Imaging in patients with glioblastoma: A national cohort study

MONAI: An open-source framework for deep learning in healthcare

Moving towards vertically integrated artificial intelligence development

Haris Shuaib Information

University

Position

Digital Health

Citations(all)

480

Citations(since 2020)

480

Cited By

66

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Haris Shuaib Skills & Research Interests

Computer-Aided Diagnosis

Machine Learning

Medical Imaging

Medical Devices

Top articles of Haris Shuaib

AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study

BMJ open

2024/2/1

P13. 10. A PREDICTING SURVIVAL OF GLIOBLASTOMAAFTER RADIOTHERAPY USING DEEP LEARNING AND NEUROIMAGING IN A MULTI-CENTRE COHORT

Neuro-Oncology

2023/9/1

Validating transformers for redaction of text from electronic health records in real-world healthcare

2023/6/26

Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium

The British journal of radiology

2023/1/1

Imaging in patients with glioblastoma: A national cohort study

Neuro-Oncology Practice

2022/12

Haris Shuaib
Haris Shuaib

H-Index: 4

Matt Williams
Matt Williams

H-Index: 9

Moving towards vertically integrated artificial intelligence development

2022/9/15

Addressing the “elephant in the room” of AI clinical decision support through organisation-level regulation

PLOS Digital Health

2022/9/15

Imaging biomarkers of glioblastoma treatment response: a systematic review and meta-analysis of recent machine learning studies

2022/1/31

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

arXiv preprint arXiv:2212.14177

2022/12/29

OS08. 6. A Glioblastoma treatment response machine learning monitoring biomarkers: a systematic review and meta-analysis

2021/9/1

Glioblastoma post-operative imaging in neuro-oncology: current UK practice (GIN CUP study)

European radiology

2021/5

Aysha Luis
Aysha Luis

H-Index: 2

Haris Shuaib
Haris Shuaib

H-Index: 4

Almonds Improve Endothelial Function and Lower LDL Cholesterol, But Do Not Affect Liver Fat in Adults at Moderate Risk of Cardiovascular Disease: A Randomized Controlled Trial

Current Developments in Nutrition

2020/6/1

Snacking on whole almonds for 6 weeks improves endothelial function and lowers LDL cholesterol but does not affect liver fat and other cardiometabolic risk factors in healthy …

The American journal of clinical nutrition

2020/6/1

Machine learning and glioblastoma: treatment response monitoring biomarkers in 2021

2020

Machine learning and glioma imaging biomarkers

2020/1/1

See List of Professors in Haris Shuaib University(King's College)