Thomas Atta-fosu

Deep Learning Models on CPUs: A Methodology for Efficient Training

Douglas C. Schmidt, Quchen Fu, Zhongwei Teng, 2022, ArXiv.

3D Clumped Cell Segmentation Using Curvature Based Seeded Watershed

Weihong Guo, Thomas Atta-Fosu, Claudia Mieko Mizutani, 2016, J. Imaging.

A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT

Anant Madabhushi, Soumya Ghose, Paul Schoenhagen, 2021, BMC Medical Imaging.

Deep Learning Models on CPUs: A Methodology for Efficient Training

Douglas C. Schmidt, Quchen Fu, Zhongwei Teng, 2022, ArXiv.

Joint Segmentation and Nonlinear Registration Using Fast Fourier Transform and Total Variation

Weihong Guo, Thomas Atta-Fosu, W. Guo, 2018 .

MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI

Peter Mattson, David Kanter, V. Reddi, 2022, MLSys.

New Radiomic Markers of Pulmonary Vein Morphology Associated With Post-Ablation Recurrence of Atrial Fibrillation

M. Chung, A. Madabhushi, P. Schoenhagen, 2022, IEEE Journal of Translational Engineering in Health and Medicine.