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ORCIDFateme Nateghi Haredasht
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2020 – today
- 2026
[j7]Pooya Ashtari
, Pourya Behmandpoor, Fateme Nateghi Haredasht, Jonathan H. Chen, Panagiotis Patrinos, Sabine Van Huffel:
Quantization-aware matrix factorization for low bit rate image compression. Inf. Sci. 722: 122646 (2026)- 2025
- [j6]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:
Red teaming ChatGPT in medicine to yield real-world insights on model behavior. npj Digit. Medicine 8(1) (2025) - [j5]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:
Clinical entity augmented retrieval for clinical information extraction. npj Digit. Medicine 8(1) (2025) - [i10]Iván López, Fateme Nateghi Haredasht, Kaitlin Caoili, Jonathan H. Chen, Akshay Chaudhari:
Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation. CoRR abs/2501.11199 (2025) - [i9]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:
Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records. CoRR abs/2503.07664 (2025) - [i8]Pooya Ashtari, Shahryar Noei, Fateme Nateghi Haredasht, Jonathan H. Chen, Giuseppe Jurman, Aleksandra Pizurica, Sabine Van Huffel:
Deconver: A Deconvolutional Network for Medical Image Segmentation. CoRR abs/2504.00302 (2025) - [i7]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:
A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation. CoRR abs/2504.07278 (2025) - [i6]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:
Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates. CoRR abs/2508.01159 (2025) - [i5]François Grolleau, Emily Alsentzer, Timothy Keyes, Philip Chung, Akshay Swaminathan, Asad Aali, Jason Hom, Tridu Huynh, Thomas Lew, April S. Liang, Weihan Chu, Natasha Z. Steele, Christina F. Lin, Jingkun Yang, Kameron C. Black, Stephen P. Ma, Fateme Nateghi Haredasht, Nigam H. Shah, Kevin Schulman, Jonathan H. Chen:
MedFactEval and MedAgentBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries. CoRR abs/2509.05878 (2025) - [i4]Wenyuan Chen, Fateme Nateghi Haredasht, Kameron C. Black, François Grolleau, Emily Alsentzer, Jonathan H. Chen, Stephen P. Ma:
Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale Evaluation. CoRR abs/2509.22565 (2025) - 2024
- [j4]Michela Venturini, Fateme Nateghi Haredasht, Frantisek Sabovcik, Robert J. H. Miller, Tatiana Kuznetsova, Celine Vens:
Improving 1-Year Mortality Prediction After Pediatric Heart Transplantation Using Hypothetical Donor-Recipient Matches. IEEE Access 12: 89754-89762 (2024) - [i3]Pooya Ashtari, Pourya Behmandpoor, Fateme Nateghi Haredasht, Jonathan H. Chen, Panagiotis Patrinos, Sabine Van Huffel:
Quantization-free Lossy Image Compression Using Integer Matrix Factorization. CoRR abs/2408.12691 (2024) - 2023
- [j3]Fateme Nateghi Haredasht, Kazeem Adesina Dauda, Celine Vens:
Exploiting Censored Information in Self-Training for Time-to-Event Prediction. IEEE Access 11: 96831-96840 (2023) - 2022
- [j2]Fateme Nateghi Haredasht, Celine Vens:
Predicting Survival Outcomes in the Presence of Unlabeled Data. Mach. Learn. 111(11): 4139-4157 (2022) - [i2]Fateme Nateghi Haredasht, Celine Vens:
Predicting Survival Outcomes in the Presence of Unlabeled Data. CoRR abs/2210.13891 (2022) - 2020
- [j1]Pooya Ashtari, Fateme Nateghi Haredasht, Hamid Beigy:
Supervised fuzzy partitioning. Pattern Recognit. 97 (2020)
2010 – 2019
- 2019
- [c1]Fateme Nateghi Haredasht, Mohammad Hassan Moradi:
Nonlinear Causality Inference in Microarray Time Series. BNAIC/BENELEARN 2019 - 2018
- [i1]Pooya Ashtari, Fateme Nateghi Haredasht:
Supervised Fuzzy Partitioning. CoRR abs/1806.06124 (2018)
Coauthor Index
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