Keegan Lensink

According to our database, Keegan Lensink authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data.

Bas Peters, Eldad Haber, Keegan Lensink

CoRR, 2024

2021

A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images.

Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images.

Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai

CoRR, 2020

Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients.

Keegan Lensink, Issam H. Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou, William Parker, Eldad Haber

CoRR, 2020

Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing.

Bas Peters, Eldad Haber, Keegan Lensink

CoRR, 2020

2019

Symmetric block-low-rank layers for fully reversible multilevel neural networks.

Bas Peters, Eldad Haber, Keegan Lensink

CoRR, 2019

Fluid Flow Mass Transport for Generative Networks.

Jingrong Lin, Keegan Lensink, Eldad Haber

CoRR, 2019

Fully Hyperbolic Convolutional Neural Networks.

Keegan Lensink, Eldad Haber, Bas Peters

CoRR, 2019

IMEXnet A Forward Stable Deep Neural Network.

Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto

Proceedings of the 36th International Conference on Machine Learning, 2019