Search Results for author: David Ohlssen

Found 2 papers, 2 papers with code

TorchSurv: A Lightweight Package for Deep Survival Analysis

1 code implementation16 Apr 2024 Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller

TorchSurv is a Python package that serves as a companion tool to perform deep survival modeling within the PyTorch environment.

Survival Analysis

A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs

1 code implementation24 Jun 2021 Hanxi Sun, Jason Plawinski, Sajanth Subramaniam, Amir Jamaludin, Timor Kadir, Aimee Readie, Gregory Ligozio, David Ohlssen, Mark Baillie, Thibaud Coroller

An alternative to anonymization is sharing a synthetic dataset that bears a behaviour similar to the real data but preserves privacy.

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