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Studies in Health Technology and Informatics
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August 8, 2025
Human in the Loop: Embedding Medical Expert Input in Large Language Models for Clinical Applications
Pedram Golnari, Katrina Prantzalos, Dipak Upadhyaya, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
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March 21, 2022
Epilepsy-Connect: An Integrated Knowledgebase for Characterizing Alterations in Consciousness State of Pharmacoresistant Epilepsy Patients
Katrina Prantzalos, Jianzhe Zhang, Nassim Shafiabadi, et al.
Computers in Biology and Medicine
|
October 11, 2024
Machine learning interpretability methods to characterize the importance of hematologic biomarkers in prognosticating patients with suspected infection
Dipak P Upadhyaya, Yasir Tarabichi, Katrina Prantzalos, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 3, 2023
Machine Learning Interpretability Methods to Characterize the Importance of Hematologic Biomarkers in Prognosticating Patients with Suspected Infection
Dipak P Upadhyaya, Yasir Tarabichi, Katrina Prantzalos, et al.
Studies in Health Technology and Informatics
|
August 8, 2025
Standardized Epilepsy Data Collection and Analysis Leveraging the Four Dimensional Epilepsy Classification (4D-EC) Framework
Katrina Prantzalos, Pedram Golnari, Dipak Upadhyaya, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 20, 2024
A 360° View for Large Language Models: Early Detection of Amblyopia in Children using Multi-View Eye Movement Recordings
Dipak P Upadhyaya, Aasef G Shaikh, Gokce Busra Cakir, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 10, 2023
Machine Learning Interpretability Methods to Characterize Brain Network Dynamics in Epilepsy
Dipak P Upadhyaya, Katrina Prantzalos, Suraj Thyagaraj, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
June 12, 2025
Explainable Artificial Intelligence (XAI) in the Era of Large Language Models: Applying an XAI Framework in Pediatric Ophthalmology Diagnosis using the Gemini Model
Dipak P Upadhyaya, Katrina Prantzalos, Pedram Golnari, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 31, 2023
MaTiLDA: An Integrated Machine Learning and Topological Data Analysis Platform for Brain Network Dynamics
Katrina Prantzalos, Dipak Upadhyaya, Nassim Shafiabadi, et al.
Scientific Reports
|
November 13, 2022
Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records
Satya S Sahoo, Katja Kobow, Jianzhe Zhang, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Studies in Health Technology and Informatics
|
August 8, 2025
Human in the Loop: Embedding Medical Expert Input in Large Language Models for Clinical Applications
Pedram Golnari, Katrina Prantzalos, Dipak Upadhyaya, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 21, 2022
Epilepsy-Connect: An Integrated Knowledgebase for Characterizing Alterations in Consciousness State of Pharmacoresistant Epilepsy Patients
Katrina Prantzalos, Jianzhe Zhang, Nassim Shafiabadi, et al.
Computers in Biology and Medicine
|
October 11, 2024
Machine learning interpretability methods to characterize the importance of hematologic biomarkers in prognosticating patients with suspected infection
Dipak P Upadhyaya, Yasir Tarabichi, Katrina Prantzalos, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 3, 2023
Machine Learning Interpretability Methods to Characterize the Importance of Hematologic Biomarkers in Prognosticating Patients with Suspected Infection
Dipak P Upadhyaya, Yasir Tarabichi, Katrina Prantzalos, et al.
Studies in Health Technology and Informatics
|
August 8, 2025
Standardized Epilepsy Data Collection and Analysis Leveraging the Four Dimensional Epilepsy Classification (4D-EC) Framework
Katrina Prantzalos, Pedram Golnari, Dipak Upadhyaya, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 20, 2024
A 360° View for Large Language Models: Early Detection of Amblyopia in Children using Multi-View Eye Movement Recordings
Dipak P Upadhyaya, Aasef G Shaikh, Gokce Busra Cakir, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 10, 2023
Machine Learning Interpretability Methods to Characterize Brain Network Dynamics in Epilepsy
Dipak P Upadhyaya, Katrina Prantzalos, Suraj Thyagaraj, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
June 12, 2025
Explainable Artificial Intelligence (XAI) in the Era of Large Language Models: Applying an XAI Framework in Pediatric Ophthalmology Diagnosis using the Gemini Model
Dipak P Upadhyaya, Katrina Prantzalos, Pedram Golnari, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 31, 2023
MaTiLDA: An Integrated Machine Learning and Topological Data Analysis Platform for Brain Network Dynamics
Katrina Prantzalos, Dipak Upadhyaya, Nassim Shafiabadi, et al.
Scientific Reports
|
November 13, 2022
Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records
Satya S Sahoo, Katja Kobow, Jianzhe Zhang, et al.
Page
of 2