Dr Ihsan Ullah

Dr Ihsan Ullah

University College Dublin

H-index: 11

Europe-Ireland

About Dr Ihsan Ullah

Dr Ihsan Ullah, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at University College Dublin, specializes in the field of Deep Learning, Image & Video Analysis, Explainable AI, Open Social Data.

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

Deep learning techniques for biometric security: A systematic review of presentation attack detection systems

Synthesizing CTA Image Data for Type-B Aortic Dissection using Stable Diffusion Models

Explaining decisions of a light-weight deep neural network for real-time coronary artery disease classification in magnetic resonance imaging

Does renal denervation require cardiovascular outcome-driven data?

Deep learning framework for intelligent pavement condition rating: A direct classification approach for regional and local roads

Compression scenarios for federated learning in smart manufacturing

Respiration Rate Detection for In-Cabin Passenger Monitoring

Towards a Semantic Approach for Linked Dataspace, Model and Data Cards

Dr Ihsan Ullah Information

University

Position

CeADAR Irelands Center for Applied AI

Citations(all)

1089

Citations(since 2020)

932

Cited By

466

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

16

i10Index(since 2020)

11

Email

University Profile Page

University College Dublin

Google Scholar

View Google Scholar Profile

Dr Ihsan Ullah Skills & Research Interests

Deep Learning

Image & Video Analysis

Explainable AI

Open Social Data

Top articles of Dr Ihsan Ullah

Title

Journal

Author(s)

Publication Date

Deep learning techniques for biometric security: A systematic review of presentation attack detection systems

Kashif Shaheed

Piotr Szczuko

Munish Kumar

Imran Qureshi

Qaisar Abbas

...

2024/3/1

Synthesizing CTA Image Data for Type-B Aortic Dissection using Stable Diffusion Models

arXiv preprint arXiv:2402.06969

Ayman Abaid

Muhammad Ali Farooq

Niamh Hynes

Peter Corcoran

Ihsan Ullah

2024/2/10

Explaining decisions of a light-weight deep neural network for real-time coronary artery disease classification in magnetic resonance imaging

Journal of Real-Time Image Processing

Talha Iqbal

Aaleen Khalid

Ihsan Ullah

2024/2

Does renal denervation require cardiovascular outcome-driven data?

Syedah Aleena Haider

Max Wagener

Talha Iqbal

Shirjeel Shahzad

Paolo Alberto Del Sole

...

2024/3/11

Deep learning framework for intelligent pavement condition rating: A direct classification approach for regional and local roads

Automation in Construction

Waqar S Qureshi

David Power

Ihsan Ullah

Brian Mulry

Kieran Feighan

...

2023/9/1

Compression scenarios for federated learning in smart manufacturing

Procedia Computer Science

Seif Allah EL Mesloul Nasri

Ihsan Ullah

Michael G Madden

2023/1/1

Respiration Rate Detection for In-Cabin Passenger Monitoring

Aaron Brennan

Amr Elrasad

Ihsan Ullah

2023/6/13

Towards a Semantic Approach for Linked Dataspace, Model and Data Cards

Andy Donald

Apostolos Galanopoulos

Edward Curry

Emir Muñoz

Ihsan Ullah

...

2023/4/30

Emotion recognition system based on two-level ensemble of deep-convolutional neural network models

IEEE Access

Muhammad Hussain

Hatim A AboAlSamh

Ihsan Ullah

2023/2/15

Unsupervised End-to-End Transformer based approach for Video Anomaly Detection

Muhammad Adeel Hafeez

Sajid Javed

Michael Madden

Ihsan Ullah

2023/11/29

Bias Detection for Customer Interaction Data: A Survey on Datasets, Methods, and Tools

IEEE Access

Andy Donald

Apostolos Galanopoulos

Edward Curry

Emir Muñoz

Ihsan Ullah

...

2023

Machine Learning Approaches for Segmentation of Cardiovascular Neurocristopathy Related Images

IEEE Access

Talha Iqbal

Osama Soliman

Sherif Sultan

Ihsan Ullah

2023/10/19

Multi-level federated learning for industry 4.0-A crowdsourcing approach

Procedia Computer Science

Ihsan Ullah

Umair Ul Hassan

Muhammad Intizar Ali

2023/1/1

A social network of crime: A review of the use of social networks for crime and the detection of crime

Brett Drury

Samuel Morais Drury

Md Arafatur Rahman

Ihsan Ullah

2022/7/1

A novel algorithm based on a common subspace fusion for visual object tracking

IEEE Access

Sajid Javed

Arif Mahmood

Ihsan Ullah

Thierry Bouwmans

Majid Khonji

...

2022/2/28

Coyote: A Dataset of Challenging Scenarios in Visual Perception for Autonomous Vehicles

Suruchi Gupta

Ihsan Ullah

Michael G Madden

2021

Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons

Ihsan Ullah

Sean Reilly

Michael G. Madden

2021/1/13

Explaining Deep Learning Models for Tabular Data Using Layer-Wise Relevance Propagation

Applied Sciences

Ihsan Ullah

Andre Rios

Vaibhav Gala

Susan Mckeever

2021/12

Graph Convolutional Networks: analysis, improvements and results

Applied Intelligence

Ihsan Ullah

Mario Manzo

Mitul Shah

Michael G Madden

2022/6

Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet?

Bahram Lavi

Ihsan Ullah

Mehdi Fatan

Anderson Rocha

2020/4/30

See List of Professors in Dr Ihsan Ullah University(University College Dublin)

Co-Authors

H-index: 55
George Bebis

George Bebis

University of Nevada, Reno

H-index: 42
Muhammad Hussain

Muhammad Hussain

King Saud University

H-index: 30
Michael G Madden

Michael G Madden

National University of Ireland, Galway

H-index: 29
Alfredo Petrosino

Alfredo Petrosino

Università degli Studi di Napoli Parthenope

H-index: 22
Ali El-Zaart

Ali El-Zaart

Beirut Arab University

H-index: 22
Hatim Aboalsamh

Hatim Aboalsamh

King Saud University

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