Christian S. Perone

Planet Biotechnology (United States) — United States

Engineering · Physical Sciences

11h-index761citations27works0.02yr avg
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Research Topics

Medical Imaging and Analysis(5), Autonomous Vehicle Technology and Safety(4), Domain Adaptation and Few-Shot Learning(4), Advanced Neuroimaging Techniques and Applications(3), COVID-19 diagnosis using AI(3)

Publications27 total

Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
2023· 29 cited
Histology-informed automatic parcellation of white matter tracts in the rat spinal cord
Frontiers in Neuroanatomy·2022Open Access
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
arXiv (Cornell University)·2022Open Access
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
arXiv (Cornell University)·2022Open Access
DriverGym: Democratising Reinforcement Learning for Autonomous Driving
arXiv (Cornell University)·2021Open Access
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation
arXiv (Cornell University)·2021· 1 citedOpen Access
Analysis of the SARS-CoV-2 outbreak in Rio Grande do Sul / Brazil
arXiv (Cornell University)·2020Open Access
Deep Active Learning for Axon-Myelin Segmentation on Histology Data
arXiv (Cornell University)·2019· 17 citedOpen Access
The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection
arXiv (Cornell University)·2019Open Access
The Impact of Feature Causality on Normal Behaviour Models for\n SCADA-based Wind Turbine Fault Detection
arXiv (Cornell University)·2019· 1 citedOpen Access
Open-source pipeline for multi-class segmentation of the spinal cord with deep learning
Magnetic Resonance Imaging·2019· 17 citedOpen Access
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
NeuroImage·2019· 14 citedOpen Access
Deep Learning Methods for MRI Spinal Cord Gray Matter Segmentation
2019
Promises and limitations of deep learning for medical image segmentation
Journal of Medical Artificial Intelligence·2019· 45 citedOpen Access
U-Net Fixed-Point Quantization for Medical Image Segmentation
Lecture notes in computer science·2019· 5 citedOpen Access
perone/medicaltorch: Release v0.2
2018· 7 citedOpen Access
Unsupervised domain adaptation for medical imaging segmentation with\n self-ensembling
arXiv (Cornell University)·2018· 2 citedOpen Access
Evaluation of sentence embeddings in downstream and linguistic probing tasks
arXiv (Cornell University)·2018· 103 citedOpen Access
Evaluation of sentence embeddings in downstream and linguistic probing\n tasks
arXiv (Cornell University)·2018· 77 citedOpen Access
Spinal cord gray matter segmentation using deep dilated convolutions
Scientific Reports·2018· 133 citedOpen Access
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Frequent Co-authors

Julien Cohen‐Adad(11), Stefano Pini(3), Sergey Zagoruyko(3), Evan Calabrese(2), Roberto Pereira Silveira(2), Thomas S. Paula(2), Aayush Ahuja(2), Ana Sofia Rufino Ferreira(2), Moritz Niendorf(2), Charley Gros(2), Pedro L. Ballester(2), Rodrigo C. Barros(2), Telmo Felgueira(2), Rui Castro(2), Aldo Zaimi(1), Maxime Wabartha(1), Victor Herman(1), Pierre-Louis Antonsanti(1), Roberto Leal Silveira(1), Syed M. Adil(1)