645 citations · 1.2k across the 8 of their papers we have counts for
10 papers
A deep learning model for burn depth classification using ultrasound imaging
Sangrock Lee, Rahul, James Lukan +6
Identification of burn depth with sufficient accuracy is a challenging problem. This paper presents a deep convolutional neural network to classify burn depth based on altered tiss…
FEqa: Finite Element Computations on Quantum Annealers
Osama Muhammad Raisuddin, Suvranu De
The solution of physical problems discretized using the finite element methods using quantum computers remains relatively unexplored. Here, we present a unified formulation (FEqa)…
Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review
Erim Yanik, Xavier Intes, Uwe Kruger +6
Surgical training in medical school residency programs has followed the apprenticeship model. The learning and assessment process is inherently subjective and time-consuming. Thus,…
Decreasing the Surgical Errors by Neurostimulation of Primary Motor Cortex and the Associated Brain Activation via Neuroimaging
Yuanyuan Gao, Lora Cavuoto, Anirban Dutta +9
Acquisition of fine motor skills is a time-consuming process as it requires frequent repetitions. Transcranial electrical stimulation is a promising means of enhancing simple motor…
Multiscale modeling meets machine learning: What can we learn?
Grace C. Y. Peng, Mark Alber, Adrian Buganza Tepole +9
Machine learning is increasingly recognized as a promising technology in the biological, biomedical, and behavioral sciences. There can be no argument that this technique is incred…
Integrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences
Mark Alber, Adrian Buganza Tepole, William Cannon +8
Fueled by breakthrough technology developments, the biological, biomedical, and behavioral sciences are now collecting more data than ever before. There is a critical need for time…