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Journal Articles
- 2024
[j8]Adrian Serapio, Gunvant R. Chaudhari, Cody Savage, Yoo Jin Lee, Maya Vella, Shravan Sridhar, Jamie Lee Schroeder, Jonathan Liu, Adam Yala, Jae Ho Sohn:
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study. BMC Medical Imaging 24(1): 254 (2024)- 2022
- [j7]Gunvant R. Chaudhari, Yeshwant Reddy Chillakuru, Timothy L. Chen, Valentina Pedoia, Thienkhai Vu, Christopher Paul Hess, Youngho Seo, Jae Ho Sohn:
Clinical language search algorithm from free-text: facilitating appropriate imaging. BMC Medical Imaging 22(1): 18 (2022) - 2021
- [j6]Yeshwant Reddy Chillakuru, Kyle Kranen, Vishnu Doppalapudi, Zhangyuan Xiong, Letian Fu, Aarash Heydari, Aditya Sheth, Youngho Seo, Thienkhai Vu, Jae Ho Sohn:
High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels. BMC Medical Imaging 21(1): 66 (2021) - [j5]Timothy L. Chen, Max Emerling, Gunvant R. Chaudhari, Yeshwant Reddy Chillakuru, Youngho Seo, Thienkhai Vu, Jae Ho Sohn
:
Domain specific word embeddings for natural language processing in radiology. J. Biomed. Informatics 113: 103665 (2021) - [j4]Yeshwant Reddy Chillakuru, Shourya Munjal, Benjamin Laguna, Timothy L. Chen, Gunvant R. Chaudhari, Thienkhai Vu, Youngho Seo, Jared Narvid, Jae Ho Sohn:
Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing. BMC Medical Informatics Decis. Mak. 21(1): 213 (2021) - 2020
- [j3]Jae Ho Sohn, Yeshwant Reddy Chillakuru, Stanley Lee, Amie Y. Lee, Tatiana Kelil, Christopher Paul Hess, Youngho Seo, Thienkhai Vu, Bonnie N. Joe:
An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow. J. Digit. Imaging 33(4): 1041-1046 (2020) - 2019
- [j2]Hari Trivedi, Maryam Panahiazar, April Liang, Dmytro Lituiev, Peter Chang, Jae Ho Sohn, Yunn-Yi Chen, Benjamin L. Franc, Bonnie Joe, Dexter Hadley:
Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning. J. Digit. Imaging 32(1): 30-37 (2019) - 2018
- [j1]Hari Trivedi, Joseph Mesterhazy, Benjamin Laguna, Thienkhai Vu, Jae Ho Sohn:
Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm. J. Digit. Imaging 31(2): 245-251 (2018)
Conference and Workshop Papers
- 2024
- [c1]Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay:
Conformal Language Modeling. ICLR 2024
Informal and Other Publications
- 2024
- [i4]Shreya Rajagopal, Subhashis Hazarika, Sookyung Kim, Yan-Ming Chiou, Jae Ho Sohn, Hari Subramonyam, Shiwali Mohan:
Are Generative AI systems Capable of Supporting Information Needs of Patients? CoRR abs/2402.00234 (2024) - 2023
- [i3]Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay:
Conformal Language Modeling. CoRR abs/2306.10193 (2023) - 2019
- [i2]Justin D. Krogue, Kaiyang V. Cheng, Kevin M. Hwang, Paul Toogood, Eric G. Meinberg, Erik J. Geiger, Musa B. Zaid, Kevin C. McGill, Rina Patel, Jae Ho Sohn, Alexandra Wright, Bryan F. Darger, Kevin A. Padrez, Eugene Ozhinsky, Sharmila Majumdar, Valentina Pedoia:
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. CoRR abs/1909.06326 (2019) - 2018
- [i1]Jaewon Yang, Dookun Park, Jae Ho Sohn, Zhen Jane Wang, Grant T. Gullberg, Youngho Seo:
Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET. CoRR abs/1811.11852 (2018)
Coauthor Index
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