Fateme Nateghi Haredasht

According to our database, Fateme Nateghi Haredasht authored at least 14 papers between 2018 and 2025.

Collaborative distances:

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

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, Lena Giang, Kelvin Zhenghao Li, Olivia Jee, Daniel Shirvani, Ethan Goh, Jonathan H. Chen

CoRR, August, 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, Jonathan H. Chen

CoRR, April, 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, April, 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, Amy Chang, Jonathan H. Chen

CoRR, March, 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, January, 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

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, Allison Sihan Jia, Amit Kaushal, Angela Jia, Angelica Iacovelli, Archer Yang, Arghavan Salles, Arpita Singhal, Balasubramanian Narasimhan, Benjamin Belai, Benjamin H. Jacobson, Binglan Li, Celeste H. Poe, Chandan Sanghera, Chenming Zheng, Conor Messer, Damien Varid Kettud, Deven Pandya, Dhamanpreet Kaur, Diana Hla, Diba Dindoust, Dominik Moehrle, Duncan Ross, Ellaine Chou, Eric Lin, Fateme Nateghi Haredasht, Ge Cheng, Irena Gao, Jacob Chang, Jake Silberg, Jason A. Fries, Jiapeng Xu, Joe Jamison, John S. Tamaresis, Jonathan H. Chen, Joshua Lazaro, Juan M. Banda, Julie J. Lee, Karen Ebert Matthys, Kirsten R. Steffner, Lu Tian, Luca Pegolotti, Malathi Srinivasan, Maniragav Manimaran, Matthew Schwede, Minghe Zhang, Minh Nguyen, Mohsen Fathzadeh, Qian Zhao, Rika Bajra, Rohit Khurana, Ruhana Azam, Rush Bartlett, Sang T. Truong, Scott L. Fleming, Shriti Raj, Solveig Behr, Sonia Onyeka, Sri Muppidi, Tarek Bandali, Tiffany Y. Eulalio, Wenyuan Chen, Xuanyu Zhou, Yanan Ding, Ying Cui, Yuqi Tan, Yutong Liu, Nigam Shah, Roxana Daneshjou

npj Digit. Medicine, 2025

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

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

2023

Exploiting Censored Information in Self-Training for Time-to-Event Prediction.

Fateme Nateghi Haredasht, Kazeem Adesina Dauda, Celine Vens

IEEE Access, 2023

2022

Predicting Survival Outcomes in the Presence of Unlabeled Data.

Fateme Nateghi Haredasht, Celine Vens

Mach. Learn., 2022

2020

Supervised fuzzy partitioning.

Pooya Ashtari, Fateme Nateghi Haredasht, Hamid Beigy

Pattern Recognit., 2020

2019

Nonlinear Causality Inference in Microarray Time Series.

Fateme Nateghi Haredasht, Mohammad Hassan Moradi

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Supervised Fuzzy Partitioning.

Pooya Ashtari, Fateme Nateghi Haredasht

CoRR, 2018