146 citations · 161 across the 11 of their papers we have counts for
12 papers
Video Based Assessment of Surgical Skills Using Frozen Pretrained Video Foundation Models
Sangrock Lee, FNU Rahul, Suvranu De
Automated video-based surgical skill assessment has advanced rapidly, yet rigorous evaluation of continuous standardized score prediction under participant-level generalization to…
Airway Skill Assessment with Spatiotemporal Attention Mechanisms Using Human Gaze
Jean-Paul Ainam, Rahul, Lora Cavuoto +3
Airway management skills are critical in emergency medicine and are typically assessed through subjective evaluation, often failing to gauge competency in real-world scenarios. Thi…
An Interpretable Transformer-Based Foundation Model for Cross-Procedural Skill Assessment Using Raw fNIRS Signals
A. Subedi, S. De, L. Cavuoto +3
Objective skill assessment in high-stakes procedural environments requires models that not only decode underlying cognitive and motor processes but also generalize across tasks, in…
End-to-End Deep Learning for Real-Time Neuroimaging-Based Assessment of Bimanual Motor Skills
Aseem Subedi, Rahul, Lora Cavuoto +4
The real-time assessment of complex motor skills presents a challenge in fields such as surgical training and rehabilitation. Recent advancements in neuroimaging, particularly func…
Beyond Performance Scores: Directed Functional Connectivity as a Brain-Based Biomarker for Motor Skill Learning and Retention
Anil Kamat, Rahul Rahul, Lora Cavuoto +5
Motor skill acquisition in fields like surgery, robotics, and sports involves learning complex task sequences through extensive training. Traditional performance metrics, like exec…
Dynamic directed functional connectivity as a neural biomarker for objective motor skill assessment
Anil Kamat, Rahul Rahul, Anirban Dutta +7
Objective motor skill assessment plays a critical role in fields such as surgery, where proficiency is vital for certification and patient safety. Existing assessment methods, howe…
Fracture Characteristics of Rare-earth Phosphate under Molten Calcium Magnesium Aluminosilicate Corrosion
Subrato Sarkar, Rahul Rahul, Bishnu Pada Majee +5
The fracture characteristics of LuPO4 rare-earth phosphate environmental barrier coating (EBC) material under molten calcium-magnesium aluminosilicate (CMAS) corrosion is quantifie…
Deep Learning for Video-Based Assessment of Endotracheal Intubation Skills
Jean-Paul Ainam, Erim Yanik, Rahul Rahul +7
Endotracheal intubation (ETI) is an emergency procedure performed in civilian and combat casualty care settings to establish an airway. Objective and automated assessment of ETI sk…
Cognitive-Motor Integration in Assessing Bimanual Motor Skills
Erim Yanik, Xavier Intes, Suvranu De
Accurate assessment of bimanual motor skills is essential across various professions, yet, traditional methods often rely on subjective assessments or focus solely on motor actions…
One-shot skill assessment in high-stakes domains with limited data via meta learning
Erim Yanik, Steven Schwaitzberg, Gene Yang +4
Deep Learning (DL) has achieved robust competency assessment in various high-stakes fields. However, the applicability of DL models is often hampered by their substantial data requ…
Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning
Erim Yanik, Uwe Kruger, Xavier Intes +2
To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated - none of which is currently achievable. Video-b…
Deep Learning in fNIRS: A review
Condell Eastmond, Aseem Subedi, Suvranu De +1
Significance: Optical neuroimaging has become a well-established clinical and research tool to monitor cortical activations in the human brain. It is notable that outcomes of funct…