most citedDeep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

physics.chem-ph2024

Kinematics Modeling of Peroxy Free Radicals: A Deep Reinforcement Learning Approach

Subhadarsi Nayak, Hrithwik Shalu, Joseph Stember

Tropospheric ozone, known as a concerning air pollutant, has been associated with health issues including asthma, bronchitis, and impaired lung function. The rates at which peroxy…

cs.CV2024

Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies

Bala McRae-Posani, Andrei Holodny, Hrithwik Shalu +1

Uncertainty quantification plays a vital role in facilitating the practical implementation of AI in radiology by addressing growing concerns around trustworthiness. Given the chall…

cs.NE2021★ 2 cited

Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification

Joseph N Stember, Hrithwik Shalu

Purpose: Deep Neuroevolution (DNE) holds the promise of providing radiology artificial intelligence (AI) that performs well with small neural networks and small training sets. We s…