About
Jacob Biehl is an associate professor in the University of Pittsburgh’s School of Computing and Information. His research is at the intersection of Human-Computer Interaction and Systems. Dr. Biehl has extensive experience working with domain experts across different fields to understand and document work practice challenges. He combines design and technical knowledge to build complex interactive systems (including AR/VR systems) that are put into practice and evaluated to understand, and learn from, the impact on human behavior and change to practice. With experience in both academic and industry research, he has led the creation of complex systems, large deployments of software, sensors, and devices, and formal evaluations of authentic use in production environments and operations. In addition to numerous publications in the field of Human-Computer Interaction, Dr. Biehl’s intellectual contributions are affirmed by 25 U.S. Patents.
Publications
Streaming 2D-Endoscopic Video into an Augmented Reality Headset Display: A Feasibility Study
Edward Andrews, Talha Khan, Arka Mallela, Joseph Maroon, Jacob Biehl, David Fernandes-Cabral,
Journal of Neurological Surgery Part B: Skull Base, 2022
[Article]
A systematic comparison of the accuracy of monocular RGB tracking and LiDAR for neuronavigation
Talha Khan, Jacob Biehl, Edward Andrews,
Healthcare Technology Letters, 2022
[Article]
Understanding effects of visual feedback delay in ar on fine motor surgical tasks
Best Journal Paper AwardTalha Khan, , , Lucy Cheng, Nicolás Kass, Edward Andrews, Jacob Biehl
IEEE Transactions on Visualization and Computer Graphics, 2023
[Article]
Evolution of the meta-neurosurgeon: a systematic review of the current technical capabilities, limitations, and applications of augmented reality in neurosurgery
Nikhil Sharma, Arka Mallela, Talha Khan, Stephen Canton, Fritz Steuer, , Jacob Biehl, Edward Andrews
Surgical Neurology International, 2024
Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading
, , Jacob Biehl, Edward Andrews, Michael Kann, , , , , , , , ,
Journal of the American Medical Informatics Association, 2024
Machine Learning Analysis of CT Scans to Determine Vertebral Hounsfield Units Can Assess Osteoporosis as well as DEXA
Akshay Sankar, Michael Kann, Sam Adida, Jhair Colan, Shovan Bhatia, , Regan Shanahan, Nicolás Kass, Nikhil Sharma, Griffin Hurt, , , Jacob Biehl, David McCarthy, Edward Andrews, Andrew Legarreta
Congress of Neurological Surgeons 2024 Annual Meeting, 2024
Machine Learning Analysis of CT Scans Predicts Vertebral Compression Fractures
Sam Adida, Michael Kann, Akshay Sankar, Jhair Colan, Shovan Bhatia, , , Regan Shanahan, Nicolás Kass, Nikhil Sharma, David McCarthy, Andrew Legarreta, , Peter Gerszten, Jacob Biehl, Edward Andrews
Congress of Neurological Surgeons 2024 Annual Meeting, 2024
Posters
AR in the OR: exploring use of augmented reality to support endoscopic surgery. ACM International Conference on Interactive Media Experiences
Talha Khan, Edward Andrews, , Arka Mallela, Jeffery Head, Joseph Maroon, , , Jacob Biehl
ACM International Conference on Interactive Media Experiences, 2022
[Article]
Machine Learning-Derived Hounsfield Units from Preoperative CT Better Predicts Subsequent Adjacent-Level Fractures After Kyphoplasty Than DEXA Scans
Michael Kann, Sam Adida, Akshay Sankar, Jhair Colan, Shovan Bhatia, , , Regan Shanahan, Nicolás Kass, Nikhil Sharma, Griffin Hurt, David McCarthy, Andrew Legarreta, , Jacob Biehl, Edward Andrews, Peter Gerszten
Congress of Neurological Surgeons 2024 Annual Meeting, 2024
EndovasculAR: Utility of Mixed Reality to Segment Large Displays in Surgical Settings
Griffin Hurt, Talha Khan, Michael Kann, Edward Andrews, Jacob Biehl
IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops , 2024
The Applications of Machine Learning Based Automated Segmentation to Spinal CT Scans
Michael Kann, Akshay Sankar, Jhair Colan, Sam Adida, Nicolás Kass, Shovan Bhatia, Regan Shanahan, , Griffin Hurt, Nikhil Sharma, , , David McCarthy, Andrew Legarreta, Jacob Biehl, Edward Andrews
Congress of Neurological Surgeons 2024 Annual Meeting, 2024