Hamidullah Binol

Hamidullah Binol

Wake Forest University

H-index: 13

North America-United States

About Hamidullah Binol

Hamidullah Binol, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at Wake Forest University, specializes in the field of Remote Sensing, Biomedical Informatics, Machine Learning, Pattern Recognition, Computer Vision.

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

OtoXNet—Automated identification of eardrum diseases from otoscope videos: A deep learning study for video-representing images

Advances in Artificial Intelligence to Diagnose Otitis Media: State of the Art Review

Cloud-Based Federated Learning Implementation Across Medical Centers

Convolutional neural network-based clinical predictors of oral dysplasia: Class activation map analysis of deep learning results

Automated video summarization and label assignment for otoscopy videos using deep learning and natural language processing

Decision fusion on image analysis and tympanometry to detect eardrum abnormalities

A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning based Rosacea lesion identification

Heuristic approach for jointly optimising FeICIC and UAV locations in multi‐tier LTE‐advanced public safety HetNet

Hamidullah Binol Information

University

Position

Research Associate, Wake Forest School of Medicine

Citations(all)

568

Citations(since 2020)

462

Cited By

254

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

15

Email

University Profile Page

Wake Forest University

Google Scholar

View Google Scholar Profile

Hamidullah Binol Skills & Research Interests

Remote Sensing

Biomedical Informatics

Machine Learning

Pattern Recognition

Computer Vision

Top articles of Hamidullah Binol

Title

Journal

Author(s)

Publication Date

OtoXNet—Automated identification of eardrum diseases from otoscope videos: A deep learning study for video-representing images

Neural Computing and Applications

Hamidullah Binol

M Khalid Khan Niazi

Charles Elmaraghy

Aaron C Moberly

Metin N Gurcan

2022/7

Advances in Artificial Intelligence to Diagnose Otitis Media: State of the Art Review

Otolaryngology–Head and Neck Surgery

Stephany Ngombu

Hamidullah Binol

Aaron C. Moberly

Metin N. Gurcan

2022/3

Cloud-Based Federated Learning Implementation Across Medical Centers

JCO Clinical Cancer Informatics

Suraj Rajendran

Jihad S. Obeid

Hamidullah Binol

Ralph D`Agostino Jr

Kristie Foley

...

2021/1

Convolutional neural network-based clinical predictors of oral dysplasia: Class activation map analysis of deep learning results

Cancers

Seda Camalan

Hanya Mahmood

Hamidullah Binol

Anna Luiza Damaceno Araujo

Alan Roger Santos-Silva

...

2021/3/14

Automated video summarization and label assignment for otoscopy videos using deep learning and natural language processing

Hamidullah Binol

M. Khalid Khan Niazi

Charles Elmaraghy

Aaron C. Moberly

Metin N. Gurcan

2021/2

Decision fusion on image analysis and tympanometry to detect eardrum abnormalities

Hamidullah Binol

Aaron C. Moberly

M. Khalid Khan Niazi

Garth Essig

Jay Shah

...

2020

A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning based Rosacea lesion identification

Hamidullah Binol

M. Khalid Khan Niazi

Alisha Plotner

Jennifer Sopkovich

Benjamin Kaffenberger

...

2020

Heuristic approach for jointly optimising FeICIC and UAV locations in multi‐tier LTE‐advanced public safety HetNet

IET Communications

Abhaykumar Kumbhar

Hamidullah Binol

Simran Singh

İsmail Güvenç

Kemal Akkaya

2020/12

Digital otoscopy videos versus composite images: A reader study to compare the accuracy of ENT physicians

The Laryngoscope

Hamidullah Binol

M. Khalid Khan Niazi

Garth Essig

Jay Shah

Jameson K. Mattingly

...

2020/11

SelectStitch: Automated Frame Segmentation and Stitching to Create Composite Images from Otoscope Video Clips

Appl. Sci.

Hamidullah Binol

Aaron C. Moberly

M. Khalid Khan Niazi

Garth Essig

Jay Shah

...

2020

Ros-NET: A Deep Convolutional Neural Network for Automatic Identification of Rosacea Lesions

Skin Research and Technology

Hamidullah Binol

Alisha Plotner

Jennifer Sopkovich

Benjamin Kaffenberger

M. Khalid Khan Niazi

...

2020

See List of Professors in Hamidullah Binol University(Wake Forest University)

Co-Authors

H-index: 66
Ismail Guvenc

Ismail Guvenc

North Carolina State University

H-index: 55
Kemal Akkaya

Kemal Akkaya

Florida International University

H-index: 43
Metin N. Gurcan

Metin N. Gurcan

Wake Forest University

H-index: 31
Eyuphan Bulut

Eyuphan Bulut

Virginia Commonwealth University

H-index: 29
Jihad S. Obeid

Jihad S. Obeid

Medical University of South Carolina

H-index: 27
Umit Topaloglu

Umit Topaloglu

Wake Forest University

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