Thomas Fevens

Thomas Fevens

Concordia University

H-index: 25

North America-Canada

About Thomas Fevens

Thomas Fevens, With an exceptional h-index of 25 and a recent h-index of 14 (since 2020), a distinguished researcher at Concordia University, specializes in the field of Deep Learning, Medical Imaging, Computer Aided Diagnosis, Computational Geometry, Precision Medicine.

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

Computer vision-based guidance tool for correct radiographic hand positioning

Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening

A Novel Deep Learning Method for Localization and Segmentation of Brain Tumours from MR Images

Source-free domain adaptation requires penalized diversity

Using an affordable motion capture system to evaluate the prognostic value of drop vertical jump parameters for noncontact ACL injury

Ad-cgan: Contrastive generative adversarial network for anomaly detection

Survival backup strategy for controller placement problem in Software Defined Networking

Addressing Different Goal Selection Strategies In Hindsight Experience Replay With Actor-Critic Methods For Robotic Hand Manipulation

Thomas Fevens Information

University

Position

Associate Professor Department of Computer Science and Software Engineering

Citations(all)

2125

Citations(since 2020)

858

Cited By

1619

hIndex(all)

25

hIndex(since 2020)

14

i10Index(all)

47

i10Index(since 2020)

25

Email

University Profile Page

Concordia University

Google Scholar

View Google Scholar Profile

Thomas Fevens Skills & Research Interests

Deep Learning

Medical Imaging

Computer Aided Diagnosis

Computational Geometry

Precision Medicine

Top articles of Thomas Fevens

Title

Journal

Author(s)

Publication Date

Computer vision-based guidance tool for correct radiographic hand positioning

Aloys Portafaix

Paul Reidler

Bastian Sabel

Jakob Dexl

Katharina Jeblick

...

2024/3/29

Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening

Sensors

Nicolaos Karatzas

Patrik Abdelnour

Jason Philip Aaron Hiro Corban

Kevin Y Zhao

Louis-Nicolas Veilleux

...

2024/3/20

A Novel Deep Learning Method for Localization and Segmentation of Brain Tumours from MR Images

Somayeh Davar

Thomas Fevens

2024/2/13

Source-free domain adaptation requires penalized diversity

arXiv preprint arXiv:2304.02798

Laya Rafiee Sevyeri

Ivaxi Sheth

Farhood Farahnak

Alexandre See

Samira Ebrahimi Kahou

...

2023/4/6

Using an affordable motion capture system to evaluate the prognostic value of drop vertical jump parameters for noncontact ACL injury

The American Journal of Sports Medicine

Jason Corban

Nicolaos Karatzas

Kevin Y Zhao

Athanasios Babouras

Stephane Bergeron

...

2023/3

Ad-cgan: Contrastive generative adversarial network for anomaly detection

Laya Rafiee Sevyeri

Thomas Fevens

2022/5/15

Survival backup strategy for controller placement problem in Software Defined Networking

Computer Communications

Abdunasser Alowa

Thomas Fevens

Yaser Khamayseh

2022/3/1

Addressing Different Goal Selection Strategies In Hindsight Experience Replay With Actor-Critic Methods For Robotic Hand Manipulation

Ayman Shams

Thomas Fevens

2022/12/9

A Novel Approach for Selecting Effective Threshold Values in Ternary State Estimation Using Particle Swarm Optimization

Applied Sciences

Somayeh Davar

Thomas Fevens

2022/10/22

HoloPhaseNet: fully automated deep-learning-based hologram reconstruction using a conditional generative adversarial model

Biomedical Optics Express

Keyvan Jaferzadeh

Thomas Fevens

2022/7/1

Improving Accuracy and Runtime of Skeletal Tracking of Lower Limbs for Athletic Jump Mechanics Assessment

Aloys Portafaix

Thomas Fevens

2021/11/1

Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning

Manfred Diaz

Thomas Fevens

Liam Paull

2021/5/26

Using the Microsoft Kinect to Determine risk of ACL injury in Varsity Athletes: A Paradigm Shift in Pre-season Physical Assessment

Orthopaedic Proceedings

N Karatzas

J Corban

S Bergeron

T Fevens

PA Martineau

2021/3/1

On the effectiveness of generative adversarial network on anomaly detection

Tomáš Majtner

Buda Bajić

Joakim Lindblad

Nataša Sladoje

Victoria Blanes-Vidal

...

2019

Three-Dimensional (3D) Animation and Calculation for the Assessment of Engaging Hill–Sachs Lesions With Computed Tomography 3D Reconstruction

Arthroscopy, sports medicine, and rehabilitation

Jimmy Tat

Jordan Crawford

Jaron Chong

Tom Powell

Thomas G Fevens

...

2021/2/1

Boosting segmentation performance across datasets using histogram specification with application to pelvic bone segmentation

Prabhakara Subramanya Jois

Aniketh Manjunath

Thomas Fevens

2021/12/9

FoCL: Feature-oriented continual learning for generative models

Pattern Recognition

Qicheng Lao

Mehrzad Mortazavi

Marzieh Tahaei

Francis Dutil

Thomas Fevens

...

2021/12/1

Uncertainty quantification and estimation in medical image classification

Sidi Yang

Thomas Fevens

2021

Towards minimum inter-controller delay time in software defined networking

Procedia Computer Science

Abdunasser Alowa

Thomas Fevens

2020/1/1

Surface realization using pretrained language models

Farhood Farahnak

Laya Rafiee

Leila Kosseim

Thomas Fevens

2020/12

See List of Professors in Thomas Fevens University(Concordia University)

Co-Authors

H-index: 41
Adam Krzyzak

Adam Krzyzak

Concordia University

H-index: 40
Bartosz Krawczyk

Bartosz Krawczyk

Virginia Commonwealth University

H-index: 38
Jorge Urrutia

Jorge Urrutia

Universidad Nacional Autónoma de México

H-index: 34
Jurek Czyzowicz

Jurek Czyzowicz

Université du Québec en Outaouais

H-index: 32
Stefan Langerman

Stefan Langerman

Université Libre de Bruxelles

H-index: 30
Tomomi Matsui

Tomomi Matsui

Tokyo Institute of Technology

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