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Kyle Lafata
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 6
Top Topics
Deep Learning
Charge Coupled Device
Brain Scans
Horizontally Partitioned
Top Venues
CoRR
CCGridW
ICDH
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Publications
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Peter Domanski
,
Aritra Ray
,
Farshad Firouzi
,
Kyle Lafata
,
Krishnendu Chakrabarty
,
Dirk Pflüger
Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning.
ICDH
(2023)
Lucas Kreiss
,
Shaowei Jiang
,
Xiang Li
,
Shiqi Xu
,
Kevin C. Zhou
,
Alexander Mühlberg
,
Kyung Chul Lee
,
Kanghyun Kim
,
Amey Chaware
,
D. Michael Ando
,
Laura Barisoni
,
Seung Ah Lee
,
Guoan Zheng
,
Kyle Lafata
,
Oliver Friedrich
,
Roarke Horstmeyer
Digital staining in optical microscopy using deep learning - a review.
CoRR
(2023)
Aritra Ray
,
Kyle Lafata
,
Zhaobo Zhang
,
Ying Xiong
,
Krishnendu Chakrabarty
Privacy-preserving Job Scheduler for GPU Sharing.
CCGridW
(2023)
Zhenyu Yang
,
Kyle Lafata
,
Eugene Vaios
,
Zongsheng Hu
,
Trey Mullikin
,
Fang-Fang Yin
,
Chunhao Wang
Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection.
CoRR
(2022)
Zhenyu Yang
,
Zongsheng Hu
,
Hangjie Ji
,
Kyle Lafata
,
Scott Floyd
,
Fang-Fang Yin
,
Chunhao Wang
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation.
CoRR
(2022)
Hangjie Ji
,
Kyle Lafata
,
Yvonne Mowery
,
David Brizel
,
Andrea L. Bertozzi
,
Fang-Fang Yin
,
Chunhao Wang
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application.
CoRR
(2021)