Manu Goyal

Manu Goyal

University of Texas Southwestern Medical Center

H-index: 17

North America-United States

About Manu Goyal

Manu Goyal, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Texas Southwestern Medical Center, specializes in the field of Medical Imaging Analysis, Computer Vision, Deep Learning, Machine Learning, Internet of Things..

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

Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features

Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer

Style Transfer–assisted Deep Learning Method for Kidney Segmentation at Multiphase MRI

Computerised methods for monitoring diabetic foot ulcers on plantar foot: a feasibility study

Automated kidney segmentation by mask R-CNN in T2-weighted magnetic resonance imaging

Bladder cancer prognosis using deep neural networks and histopathology images

Development of diabetic foot ulcer datasets: an overview

Deep learning in diabetic foot ulcers detection: A comprehensive evaluation

Manu Goyal Information

University

Position

Postdoctoral Researcher

Citations(all)

1752

Citations(since 2020)

1681

Cited By

430

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

University of Texas Southwestern Medical Center

Google Scholar

View Google Scholar Profile

Manu Goyal Skills & Research Interests

Medical Imaging Analysis

Computer Vision

Deep Learning

Machine Learning

Internet of Things.

Top articles of Manu Goyal

Title

Journal

Author(s)

Publication Date

Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features

arXiv preprint arXiv:2401.15805

Manu Goyal

Jonathan D Marotti

Adrienne A Workman

Elaine P Kuhn

Graham M Tooker

...

2024/1/28

Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer

arXiv preprint arXiv:2312.08479

Manu Goyal

Laura J Tafe

James X Feng

Kristen E Muller

Liesbeth Hondelink

...

2023/12/13

Style Transfer–assisted Deep Learning Method for Kidney Segmentation at Multiphase MRI

Radiology: Artificial Intelligence

Junyu Guo

Manu Goyal

Yin Xi

Lauren Hinojosa

Gaelle Haddad

...

2023/9/13

Computerised methods for monitoring diabetic foot ulcers on plantar foot: a feasibility study

Manu Goyal

Neil D Reeves

Satyan Rajbhandari

Moi Hoon Yap

2022/7/25

Automated kidney segmentation by mask R-CNN in T2-weighted magnetic resonance imaging

Manu Goyal

Junyu Guo

Lauren Hinojosa

Keith Hulsey

Ivan Pedrosa

2022/4/4

Bladder cancer prognosis using deep neural networks and histopathology images

Journal of Pathology Informatics

Wayner Barrios

Behnaz Abdollahi

Manu Goyal

Qingyuan Song

Matthew Suriawinata

...

2022/1/1

Development of diabetic foot ulcer datasets: an overview

Moi Hoon Yap

Connah Kendrick

Neil D Reeves

Manu Goyal

Joseph M Pappachan

...

2021/9/27

Deep learning in diabetic foot ulcers detection: A comprehensive evaluation

Computers in biology and medicine

Moi Hoon Yap

Ryo Hachiuma

Azadeh Alavi

Raphael Brüngel

Bill Cassidy

...

2021/8/1

Sensitivity and specificity evaluation of deep learning models for detection of pneumoperitoneum on chest radiographs

Manu Goyal

Judith Austin-Strohbehn

Sean J Sun

Karen Rodriguez

Jessica M Sin

...

2021

Feasibility of radiomics to differentiate coronavirus disease 2019 (COVID-19) from H1N1 influenza pneumonia on chest computed tomography: a proof of concept

Iranian Journal of Medical Sciences

Mohsen Tabatabaei

Baharak Tasorian

Manu Goyal

Abdollatif Moini

Houman Sotoudeh

2021/11

Breast ultrasound region of interest detection and lesion localisation

Artificial Intelligence in Medicine

Moi Hoon Yap

Manu Goyal

Fatima Osman

Robert Martí

Erika Denton

...

2020/7/1

Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques

Computers in biology and medicine

Manu Goyal

Neil D Reeves

Satyan Rajbhandari

Naseer Ahmad

Chuan Wang

...

2020/2/1

Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks

Manu Goyal

Moi Hoon Yap

Saeed Hassanpour

2020

Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities

Applied Artificial Intelligence

Ritica Thakur

Vivek L Manekar

2022/12/31

A refined deep learning architecture for diabetic foot ulcers detection

arXiv preprint arXiv:2007.07922

Manu Goyal

Saeed Hassanpour

2020/7/15

See List of Professors in Manu Goyal University(University of Texas Southwestern Medical Center)

Co-Authors

H-index: 71
Eibe Frank

Eibe Frank

University of Waikato

H-index: 56
Neil D Reeves

Neil D Reeves

Manchester Metropolitan University

H-index: 47
Jamie S McPhee

Jamie S McPhee

Manchester Metropolitan University

H-index: 38
Reyer Zwiggelaar

Reyer Zwiggelaar

Aberystwyth University

H-index: 34
Robert Martí Marly (ORCID 0000-0002-8080-2710)

Robert Martí Marly (ORCID 0000-0002-8080-2710)

Universidad de Gerona

H-index: 32
Saeed Hassanpour

Saeed Hassanpour

Dartmouth College

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