Iyad Obeid

Iyad Obeid

Temple University

H-index: 26

North America-United States

About Iyad Obeid

Iyad Obeid, With an exceptional h-index of 26 and a recent h-index of 19 (since 2020), a distinguished researcher at Temple University, specializes in the field of Neural Engineering, Brain Computer Interfaces, Brain Machine Interfaces.

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

Frameworks for Dynamic Environments and Neurodiversity. Soft, a Deployable, Stress-Relief and, Adaptive Safe Space

Signal Processing in Medicine and Biology: Innovations in Big Data Processing

Big Data Resources for Digital Pathology

Correction to: The temple university hospital digital pathology corpus

Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology

Objective evaluation metrics for automatic classification of EEG events

Recent advances in the TUH EEG corpus: improving the interrater agreement for artifacts and epileptiform events

Evaluation of combined artificial intelligence and neurologist assessment to annotate scalp electroencephalography data

Iyad Obeid Information

University

Position

___

Citations(all)

2885

Citations(since 2020)

1732

Cited By

1751

hIndex(all)

26

hIndex(since 2020)

19

i10Index(all)

50

i10Index(since 2020)

34

Email

University Profile Page

Temple University

Google Scholar

View Google Scholar Profile

Iyad Obeid Skills & Research Interests

Neural Engineering

Brain Computer Interfaces

Brain Machine Interfaces

Top articles of Iyad Obeid

Title

Journal

Author(s)

Publication Date

Frameworks for Dynamic Environments and Neurodiversity. Soft, a Deployable, Stress-Relief and, Adaptive Safe Space

Severino Alfonso

Loukia Tsafoulia

Iyad Obeid

2023/7/2

Signal Processing in Medicine and Biology: Innovations in Big Data Processing

Iyad Obeid

Joseph Picone

Ivan Selesnick

2023/2/9

Big Data Resources for Digital Pathology

SS Shalamzari

M Bagritsevich

A Melles

I Obeid

J Picone

...

2023/12/2

Correction to: The temple university hospital digital pathology corpus

Nabila Shawki

M Golam Shadin

Tarek Elseify

Luke Jakielaszek

Tunde Farkas

...

2022/10/30

Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology

Iyad Obeid

Joseph Picone

Ivan Selesnick

2022/1/1

Objective evaluation metrics for automatic classification of EEG events

Biomedical Signal Processing: Innovation and Applications

Vinit Shah

Meysam Golmohammadi

Iyad Obeid

Joseph Picone

2021

Recent advances in the TUH EEG corpus: improving the interrater agreement for artifacts and epileptiform events

G Buckwalter

S Chhin

S Rahman

I Obeid

J Picone

2021/12/4

Evaluation of combined artificial intelligence and neurologist assessment to annotate scalp electroencephalography data

JAMA network open

Thomas Schaffter

Diana SM Buist

Christoph I Lee

Yaroslav Nikulin

Dezső Ribli

...

2020/3/2

On automating hyperparameter optimization for deep learning applications

N Shawki

R Rodriguez Nunez

I Obeid

J Picone

2021/12/4

Low latency real-time seizure detection using transfer deep learning

Vahid Khalkhali

Nabila Shawki

Vinit Shah

Meysam Golmohammadi

Iyad Obeid

...

2021/12/4

Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data

EBioMedicine

Subhrajit Roy

Isabell Kiral

Mahtab Mirmomeni

Todd Mummert

Alan Braz

...

2021/4/1

Biomedical Signal Processing

Iyad Obeid

Ivan Selesnick

Joseph Picone

2021

The Temple University Digital Pathology Corpus: The Breast Tissue Subset

Z Wevodau

B Doshna

N Jhala

I Akhtar

I Obeid

...

2021/12/4

The temple university artifact corpus: An annotated corpus of eeg artifacts

Ahmed Hamid

Katherine Gagliano

Safwanur Rahman

Nikita Tulin

Vincent Tchiong

...

2020/12/5

The temple university hospital EEG corpus: Electrode location and channel labels

Institute for Signal and Information Processing Report

Sean Ferrell

Vineetha Mathew

Matthew Refford

Vincent Tchiong

Tameem Ahsan

...

2020/4

Signal processing in medicine and biology

JP Iyad Obeid

Ivan Selesnick

Joseph Picone

2020

Improving the Quality of the TUSZ Corpus

S Rahman

A Hamid

D Ochal

I Obeid

J Picone

2020/12/5

The temple university hospital digital pathology corpus

Signal Processing in Medicine and Biology: Emerging Trends in Research and Applications

Nabila Shawki

M Golam Shadin

Tarek Elseify

Luke Jakielaszek

Tunde Farkas

...

2020

Validation of temporal scoring metrics for automatic seizure detection

Vinit Shah

Iyad Obeid

Joseph Picone

George Ekladious

Ray Iskander

...

2020/12/5

Deep learning approaches for automated seizure detection from scalp electroencephalograms

Signal Processing in Medicine and Biology: Emerging Trends in Research and Applications

Meysam Golmohammadi

Vinit Shah

Iyad Obeid

Joseph Picone

2020

See List of Professors in Iyad Obeid University(Temple University)