Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET. - Jaewon Yang; Dookun Park; Jae Ho Sohn; Zhen Jane Wang 003; Grant T. Gullberg; Youngho Seo (CoRR, 2018)

Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm. - Hari Trivedi; Joseph Mesterhazy; Benjamin Laguna; Thienkhai Vu; Jae Ho Sohn (J. Digit. Imaging, 2018)

Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. - 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; et al. (CoRR, 2019)

Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning. - Hari Trivedi; Maryam Panahiazar; April Liang; Dmytro Lituiev; Peter Chang; Jae Ho Sohn; Yunn-Yi Chen; Benjamin L. Franc; Bonnie Joe; Dexter Hadley (J. Digit. Imaging, 2019)

An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow. - Jae Ho Sohn; Yeshwant Reddy Chillakuru; Stanley Lee; Amie Y. Lee; Tatiana Kelil; Christopher Paul Hess; Youngho Seo; Thienkhai Vu; Bonnie N. Joe (J. Digit. Imaging, 2020)

High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels. - Yeshwant Reddy Chillakuru; Kyle Kranen; Vishnu Doppalapudi; Zhangyuan Xiong; Letian Fu; Aarash Heydari; Aditya Sheth; Youngho Seo; Thienkhai Vu; Jae Ho Sohn (BMC Medical Imaging, 2021)

Domain specific word embeddings for natural language processing in radiology. - Timothy L. Chen; Max Emerling; Gunvant R. Chaudhari; Yeshwant Reddy Chillakuru; Youngho Seo; Thienkhai Vu; Jae Ho Sohn (J. Biomed. Informatics, 2021)

Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing. - Yeshwant Reddy Chillakuru; Shourya Munjal; Benjamin Laguna; Timothy L. Chen; Gunvant R. Chaudhari; Thienkhai Vu; Youngho Seo; Jared Narvid; Jae Ho Sohn (BMC Medical Informatics Decis. Mak., 2021)

Clinical language search algorithm from free-text: facilitating appropriate imaging. - Gunvant R. Chaudhari; Yeshwant Reddy Chillakuru; Timothy L. Chen; Valentina Pedoia; Thienkhai Vu; Christopher Paul Hess; Youngho Seo; Jae Ho Sohn (BMC Medical Imaging, 2022)

Conformal Language Modeling. - Victor Quach; Adam Fisch; Tal Schuster; Adam Yala; Jae Ho Sohn; Tommi S. Jaakkola; Regina Barzilay (ICLR, 2024)

Are Generative AI systems Capable of Supporting Information Needs of Patients? - Shreya Rajagopal; Subhashis Hazarika; Sookyung Kim; Yan-Ming Chiou; Jae Ho Sohn; Hari Subramonyam; Shiwali Mohan (CoRR, 2024)

An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study. - Adrian Serapio; Gunvant R. Chaudhari; Cody Savage; Yoo Jin Lee; Maya Vella; Shravan Sridhar; Jamie Lee Schroeder; Jonathan Liu; Adam Yala; Jae Ho Sohn (BMC Medical Imaging, 2024)

Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems. - Shreya Rajagopal; Jae Ho Sohn; Hari Subramonyam; Shiwali Mohan (IUI Workshops, 2025)

Are LLM-generated plain language summaries truly understandable? A large-scale crowdsourced evaluation. - Yue Guo; Jae Ho Sohn; Gondy Leroy; Trevor Cohen (CoRR, 2025)

PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions. - Daeun Kyung; Hyunseung Chung; Seongsu Bae; Jiho Kim; Jae Ho Sohn; Taerim Kim; Soo Kyung Kim; Edward Choi (CoRR, 2025)

Development and validation of a risk nomogram predicting pneumothorax requiring chest tube placement post-percutaneous CT-guided lung biopsy. - Masha Bondarenko; Jianxiang Zhang; Ulysis Hugo Baal; Brian Lam 003; Gunvant R. Chaudhari; Yoo Jin Lee; Jamie Lee Schroeder; Maya Vella; Brian Haas; Thienkhai Vu; Kimberly Kallianos; Jonathan Liu; et al. (BMC Medical Imaging, 2025)