David Ohlssen

According to our database, David Ohlssen authored at least 4 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The Framework That Survives Bad Models: Human-AI Collaboration For Clinical Trials.

Yao Chen, David Ohlssen, Aimee Readie, Gregory Ligozio, Ruvie Martin, Thibaud Coroller

CoRR, October, 2025

2024

TorchSurv: A Lightweight Package for Deep Survival Analysis.

Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller

J. Open Source Softw., December, 2024

A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis.

Fabian Falck, Xuan Zhu, Sahra Ghalebikesabi, Matthias Kormaksson, Marc Vandemeulebroecke, Cong Zhang, Ruvie Martin, Stephen Gardiner, Chun Hei Kwok, Dominique M. West, Luis A. Santos, Chengeng Tian, Yu Pang, Aimee Readie, Gregory Ligozio, Kunal K. Gandhi, Thomas E. Nichols, Ann-Marie Mallon, Luke J. Kelly, David Ohlssen, George Nicholson

J. Biomed. Informatics, 2024

2021

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

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

CoRR, 2021