Narges Ahmidi

Narges Ahmidi

Johns Hopkins University

H-index: 14

North America-United States

About Narges Ahmidi

Narges Ahmidi, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Computer Science, Machine Learning, Health Care, Medical Robotics.

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

Analysis of Missingness Scenarios for Observational Health Data

Delineating morbidity patterns in preterm infants at near-term age using a data-driven approach

Proteomics reveals antiviral host response and NETosis during acute COVID-19 in high-risk patients

Correlation Between Early Trends of a Prognostic Biomarker and Overall Survival in Non–Small-Cell Lung Cancer Clinical Trials

Entwicklung und Zertifizierung klinischer KI-Software

Robust prediction under missingness shifts

Partially-Specified Causal Simulations

What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification

Narges Ahmidi Information

University

Position

___

Citations(all)

1494

Citations(since 2020)

1005

Cited By

961

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

15

i10Index(since 2020)

12

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Narges Ahmidi Skills & Research Interests

Computer Science

Machine Learning

Health Care

Medical Robotics

Top articles of Narges Ahmidi

Title

Journal

Author(s)

Publication Date

Analysis of Missingness Scenarios for Observational Health Data

Alireza Zamanian

Henrik von Kleist

Octavia Andreea Ciora

Marta Piperno

Gino Lancho

...

2024/4/5

Delineating morbidity patterns in preterm infants at near-term age using a data-driven approach

BMC pediatrics

Octavia-Andreea Ciora

Tanja Seegmüller

Johannes S Fischer

Theresa Wirth

Friederike Häfner

...

2024

Proteomics reveals antiviral host response and NETosis during acute COVID-19 in high-risk patients

Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease

Alina Bauer

Elisabeth Pachl

Johannes C Hellmuth

Nikolaus Kneidinger

Motaharehsadat Heydarian

...

2023/2/1

Correlation Between Early Trends of a Prognostic Biomarker and Overall Survival in Non–Small-Cell Lung Cancer Clinical Trials

JCO Clinical Cancer Informatics

Hugo Loureiro

Theresa M Kolben

Astrid Kiermaier

Dominik Rüttinger

Narges Ahmidi

...

2023/11

Entwicklung und Zertifizierung klinischer KI-Software

Narges Ahmidi

Leopold Mareis

2023

Robust prediction under missingness shifts

Patrick Rockenschaub

Zhicong Xian

Alireza Zamanian

Marta Piperno

Octavia-Andreea Ciora

...

2023/10/13

Partially-Specified Causal Simulations

arXiv preprint arXiv:2309.10514

Alireza Zamanian

Leopold Mareis

Narges Ahmidi

2023/9/19

What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification

Machine Learning and Knowledge Extraction

Maresa Schröder

Alireza Zamanian

Narges Ahmidi

2023/5/18

Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms

Statistics in Medicine

Alireza Zamanian

Narges Ahmidi

Mathias Drton

2023/12/20

Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data

Maresa Schröder

Alireza Zamanian

Narges Ahmidi

2023/5/4

Evaluation of Active Feature Acquisition Methods for Static Feature Settings

arXiv preprint arXiv:2312.03619

Henrik von Kleist

Alireza Zamanian

Ilya Shpitser

Narges Ahmidi

2023/12/6

Evaluation of Active Feature Acquisition Methods under Missing Data

Henrik von Kleist

Alireza Zamanian

Ilya Shpitser

Narges Ahmidi

2022/9/29

Improved macro-and micronutrient supply for favorable growth and metabolomic profile with standardized parenteral nutrition solutions for very preterm infants

Nutrients

Alida Kindt

Yvonne Kraus

David Rasp

Kai M Foerster

Narges Ahmidi

...

2022/9/21

Proteome reveals antiviral host response and NETosis during acute COVID-19 in high-risk patients (preprint)

Alina Bauer

Elisabeth Pachl

Johannes C Hellmuth

Nikolaus Kneidinger

Marion Frankenberger

...

2022

Leveraging machine learning to predict 30-day hospital readmission after cardiac surgery

The Annals of Thoracic Surgery

Eli Sherman

Diane Alejo

Zach Wood-Doughty

Marc Sussman

Stefano Schena

...

2022/12/1

Longitudinal assessment of ROPRO as an early indicator of overall survival in oncology clinical trials: a retrospective analysis

medRxiv

H Loureiro

TM Kolben

A Kiermaier

D Rüttinger

N Ahmidi

...

2022/10/12

Artificial Intelligence in action for our well-being: How the new technology finds its place in the medical sector

Digitale Welt

Narges Ahmidi

2022/10

Path dependent structural equation models

Ranjani Srinivasan

Jaron JR Lee

Rohit Bhattacharya

Ilya Shpitser

2021/12/1

Early-, late-, and very late-term prediction of target lesion failure in coronary artery stent patients: An international multi-site study

Applied Sciences

Elisabeth Pachl

Alireza Zamanian

Myriam Stieler

Calvin Bahr

Narges Ahmidi

2021/7/29

Artificial intelligence for prognostic scores in oncology: a benchmarking study

Frontiers in Artificial Intelligence

Hugo Loureiro

Tim Becker

Anna Bauer-Mehren

Narges Ahmidi

Janick Weberpals

2021/4/16

See List of Professors in Narges Ahmidi University(Johns Hopkins University)