Supervised Fuzzy Partitioning. - Pooya Ashtari; Fateme Nateghi Haredasht (CoRR, 2018)

Nonlinear Causality Inference in Microarray Time Series. - Fateme Nateghi Haredasht; Mohammad Hassan Moradi 001 (BNAIC/BENELEARN, 2019)

Supervised fuzzy partitioning. - Pooya Ashtari; Fateme Nateghi Haredasht; Hamid Beigy (Pattern Recognit., 2020)

Predicting Survival Outcomes in the Presence of Unlabeled Data. - Fateme Nateghi Haredasht; Celine Vens (Mach. Learn., 2022)

Exploiting Censored Information in Self-Training for Time-to-Event Prediction. - Fateme Nateghi Haredasht; Kazeem Adesina Dauda; Celine Vens (IEEE Access, 2023)

Improving 1-Year Mortality Prediction After Pediatric Heart Transplantation Using Hypothetical Donor-Recipient Matches. - Michela Venturini; Fateme Nateghi Haredasht; Frantisek Sabovcik; Robert J. H. Miller; Tatiana Kuznetsova; Celine Vens (IEEE Access, 2024)

Quantization-free Lossy Image Compression Using Integer Matrix Factorization. - Pooya Ashtari; Pourya Behmandpoor; Fateme Nateghi Haredasht; Jonathan H. Chen; Panagiotis Patrinos; Sabine Van Huffel (CoRR, 2024)

Red teaming ChatGPT in medicine to yield real-world insights on model behavior. - Crystal T. Chang; Hodan Farah; Haiwen Gui; Shawheen Justin Rezaei; Charbel Bou-Khalil; Ye-Jean Park; Akshay Swaminathan; Jesutofunmi A. Omiye; Akaash Kolluri; Akash Chaurasia; Alejandro Lozano; Alice Heiman; et al. (npj Digit. Medicine, 2025)

Clinical entity augmented retrieval for clinical information extraction. - Iván López; Akshay Swaminathan; Karthik S. Vedula; Sanjana Narayanan; Fateme Nateghi Haredasht; Stephen P. Ma; April S. Liang; Steven Tate; Manoj Maddali; Robert Gallo; Nigam H. Shah; Jonathan H. Chen (npj Digit. Medicine, 2025)

Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation. - Iván López; Fateme Nateghi Haredasht; Kaitlin Caoili; Jonathan H. Chen; Akshay Chaudhari (CoRR, 2025)

Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records. - Fateme Nateghi Haredasht; Fatemeh Amrollahi; Manoj Maddali; Nicholas Marshall; Stephen P. Ma; Lauren N. Cooper; Richard J. Medford; Sanjat Kanjilal; Niaz Banaei; Stanley Deresinski; Mary K. Goldstein; Steven M. Asch; et al. (CoRR, 2025)

Deconver: A Deconvolutional Network for Medical Image Segmentation. - Pooya Ashtari; Shahryar Noei; Fateme Nateghi Haredasht; Jonathan H. Chen; Giuseppe Jurman; Aleksandra Pizurica; Sabine Van Huffel (CoRR, 2025)

A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation. - Fatemeh Amrollahi; Nicholas Marshall; Fateme Nateghi Haredasht; Kameron C. Black; Aydin Zahedivash; Manoj Maddali; Stephen P. Ma; Amy Chang; Stanley Deresinski; Mary K. Goldstein; Steven M. Asch; Niaz Banaei; et al. (CoRR, 2025)

Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates. - Liam G. McCoy; Fateme Nateghi Haredasht; Kanav Chopra; David Wu; David JH Wu; Abass Conteh; Sarita Khemani; Saloni Kumar Maharaj; Vishnu Ravi; Arth Pahwa; Yingjie Weng; Leah Rosengaus; et al. (CoRR, 2025)