Milan Toma

According to our database, Milan Toma authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From Interpretable Models to Clinical Implementation: Advances in AI-Assisted Medical Diagnostics.

Milan Toma

Algorithms, 2026

Chatting Ain't Diagnosing: Diagnostic Variability and Fundamental Errors in Multimodal LLM Interpretation in Radiology.

Sungjoon Hong, Mihir Matalia, Milan Toma

Algorithms, 2026

2025

Clinical Applicability and Cross-Dataset Validation of Machine Learning Models for Binary Glaucoma Detection.

David Remyes, Daniel Nasef, Sarah Remyes, Joseph Tawfellos, Michael Sher, Demarcus Nasef, Milan Toma

Inf., 2025

Learning Dynamics Analysis: Assessing Generalization of Machine Learning Models for Optical Coherence Tomography Multiclass Classification.

Michael Sher, David Remyes, Riah Sharma, Milan Toma

Informatics, 2025

A Standardized Validation Framework for Clinically Actionable Healthcare Machine Learning with Knee Osteoarthritis Grading as a Case Study.

Daniel Nasef, Demarcus Nasef, Michael Sher, Milan Toma

Algorithms, 2025

SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models.

Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

Algorithms, 2025

2023

Comparative Analysis of Machine Learning Models for Image Detection of Colonic Polyps vs. Resected Polyps.

Adriel Abraham, Rejath Jose, Jawad Ahmad, Jai Joshi, Thomas Jacob, Aziz-ur-rahman Khalid, Hassam Ali, Pratik Patel, Jaspreet Singh, Milan Toma

J. Imaging, 2023