Seyed Amir Ahmad Safavi-Naini

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset.
CoRR
Mehran Advand, Zahra Dehghanian, Navid Faraji, Reza Barati, Seyed Amir Ahmad Safavi-Naini, Hamid R. Rabiee
2025 J jnl
Benchmarking proprietary and open-source language and vision-language models for gastroenterology clinical reasoning.
npj Digit. Medicine
Seyed Amir Ahmad Safavi-Naini, Shuhaib Ali, Omer Shahab, Zahra Shahhoseini, Thomas Savage, Sara Rafiee, Jamil S. Samaan, Reem Al Shabeeb, Farah Ladak, Jamie O. Yang, Juan Echavarria, Sumbal Babar, Aasma Shaukat, Samuel Margolis, Nicholas P. Tatonetti, Girish N. Nadkarni, Bara El Kurdi, Ali Soroush
2025 — conf
Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs.
EXTRAAMAS
Nariman Naderi, Zahra Atf, Peter R. Lewis, Aref Mahjoubfar, Seyed Amir Ahmad Safavi-Naini, Ali Soroush
2025 J jnl
Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs.
CoRR
Nariman Naderi, Zahra Atf, Peter R. Lewis, Aref Mahjoubfar, Seyed Amir Ahmad Safavi-Naini, Ali Soroush
2025 J jnl
Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment.
J. Am. Medical Informatics Assoc.
Thomas Savage, John Wang, Robert Gallo, Abdessalem Boukil, Vishwesh Patel, Seyed Amir Ahmad Safavi-Naini, Ali Soroush, Jonathan H. Chen
2025 J jnl
Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models.
CoRR
Nariman Naderi, Seyed Amir Ahmad Safavi-Naini, Thomas Savage, Zahra Atf, Peter Lewis, Girish N. Nadkarni, Ali Soroush
2025 J jnl
State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability.
CoRR
Saeide Danaei, Zahra Dehghanian, Elahe Meftah, Nariman Naderi, Seyed Amir Ahmad Safavi-Naini, Faeze Khorasanizade, Hamid R. Rabiee
2025 J jnl
The challenge of uncertainty quantification of large language models in medicine.
CoRR
Zahra Atf, Seyed Amir Ahmad Safavi-Naini, Peter Lewis, Aref Mahjoubfar, Nariman Naderi, Thomas Savage, Ali Soroush
2025 J jnl
Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images.
CoRR
Mohammad Amin Khalafi, Seyed Amir Ahmad Safavi-Naini, Ameneh Salehi, Nariman Naderi, Dorsa Alijanzadeh, Pardis Ketabi Moghadam, Kaveh Kavosi, Negar Golestani, Shabnam Shahrokh, Soltanali Fallah, Jamil S. Samaan, Nicholas P. Tatonetti, Nicholas Hoerter, Girish N. Nadkarni, Hamid Asadzadeh Aghdaei, Ali Soroush
2024 J jnl
Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data.
CoRR
Mohammadreza Ghaffarzadeh-Esfahani, Mahdi Ghaffarzadeh-Esfahani, Arian Salahi-Niri, Hossein Toreyhi, Zahra Atf, Amirali Mohsenzadeh-Kermani, Mahshad Sarikhani, Zohreh Tajabadi, Fatemeh Shojaeian, Mohammad Hassan Bagheri, Aydin Feyzi, Mohammadamin Tarighatpayma, Narges Gazmeh, Fateme Heydari, Hossein Afshar, Amirreza Allahgholipour, Farid Alimardani, Ameneh Salehi, Naghmeh Asadimanesh, Mohammad Amin Khalafi, Hadis Shabanipour, Ali Moradi, Sajjad Hossein Zadeh, Omid Yazdani, Romina Esbati, Moozhan Maleki, Danial Samiei Nasr, Amirali Soheili, Hossein Majlesi, Saba Shahsavan, Alireza Soheilipour, Nooshin Goudarzi, Erfan Taherifard, Hamidreza Hatamabadi, Jamil S. Samaan, Thomas Savage, Ankit Sakhuja, Ali Soroush, Girish N. Nadkarni, Ilad Alavi Darazam, Mohamad Amin Pourhoseingholi, Seyed Amir Ahmad Safavi-Naini
2024 J jnl
Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models.
CoRR
Seyed Amir Ahmad Safavi-Naini, Shuhaib Ali, Omer Shahab, Zahra Shahhoseini, Thomas Savage, Sara Rafiee, Jamil S. Samaan, Reem Al Shabeeb, Farah Ladak, Jamie O. Yang, Juan Echavarria, Sumbal Babar, Aasma Shaukat, Samuel Margolis, Nicholas P. Tatonetti, Girish N. Nadkarni, Bara El Kurdi, Ali Soroush
2023 J jnl
Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data.
BMC Medical Informatics Decis. Mak.
Sara Saberi Tehrani Moghadam, Maral Zarvani, Paria Amiri, Zahra Ghods, Masoomeh Raoufi, Seyed Amir Ahmad Safavi-Naini, Amirali Soheili, Mohammad Gharib, Hamid Abbasi