Scott J. Adams

14 papers A* 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generating Synthetic Contrast-Enhanced Chest CT Images from Non-Contrast Scans Using Slice-Consistent Brownian Bridge Diffusion Network.
CoRR
Pouya Shiri, Xin Yi, Neel P. Mistry, Samaneh Javadinia, Mohammad Chegini, Seok-Bum Ko, Amirali Baniasadi, Scott J. Adams
2025 J jnl
How generative AI voice agents will transform medicine.
npj Digit. Medicine
Scott J. Adams, Julián N. Acosta, Pranav Rajpurkar
2025 J jnl
ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports.
CoRR
Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Mahmoud Hussain Alabbad, Maha Sbayel Alhazmi, Neel P. Mistry, Kent Ryan Kleinschmidt, Brady Chrisler, Sathvik Suryadevara, Sri Sai Dinesh Jaliparthi, Noah Michael Prudlo, Mark David Marino, Jeremy Palacio, Rithvik Akula, Hong-Yu Zhou, Ibrahim Ethem Hamamci, Scott J. Adams, Hassan Rayhan AlOmaish, Pranav Rajpurkar
2025 J jnl
Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment.
CoRR
Julián N. Acosta, Scott J. Adams, Julius M. Kernbach, Romain Hardy, Sung Eun Kim, Luyang Luo, Xiaoman Zhang, Shreya Johri, Mohammed Baharoon, Pranav Rajpurkar
2024 J jnl
Deep learning-based age estimation from chest CT scans.
Int. J. Comput. Assist. Radiol. Surg.
Ghazal Azarfar, Seok-Bum Ko, Scott J. Adams, Paul S. Babyn
2024 J jnl
MSK-TIM: A Telerobotic Ultrasound System for Assessing the Musculoskeletal System.
Sensors
Zachary Ochitwa, Reza Fotouhi, Scott J. Adams, Adriana Noguera Cundar, Haron Obaid
2024 A* conf
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records.
AAAI
Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah
2023 J jnl
Applications of deep learning to reduce the need for iodinated contrast media for CT imaging: a systematic review.
Int. J. Comput. Assist. Radiol. Surg.
Ghazal Azarfar, Seok-Bum Ko, Scott J. Adams, Paul S. Babyn
2023 J jnl
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records.
CoRR
Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah
2021 J jnl
Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning.
J. Digit. Imaging
Robert D. E. Henderson, Xin Yi, Scott J. Adams, Paul S. Babyn
2020 J jnl
Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data.
J. Digit. Imaging
Xin Yi, Scott J. Adams, Paul S. Babyn, Abdul Elnajmi
2020 J jnl
Automatic classification of multiple catheters in neonatal radiographs with deep learning.
CoRR
Robert D. E. Henderson, Xin Yi, Scott J. Adams, Paul S. Babyn
2020 J jnl
Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment?
CoRR
Xin Yi, Scott J. Adams, Robert D. E. Henderson, Paul S. Babyn
2018 J jnl
Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data.
CoRR
Xin Yi, Scott J. Adams, Paul S. Babyn, Abdul Elnajmi