Keegan Lensink

11 papers A* 1A 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data. CoRR Bas Peters, Eldad Haber, Keegan Lensink
2021	A	`conf`	A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. WACV Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
2020	J	`jnl`	A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. CoRR Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
2020	J	`jnl`	A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. CoRR Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai
2020	J	`jnl`	Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing. CoRR Bas Peters, Eldad Haber, Keegan Lensink
2020	J	`jnl`	Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients. CoRR Keegan Lensink, Issam H. Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou, William Parker, Eldad Haber
2019	J	`jnl`	Fluid Flow Mass Transport for Generative Networks. CoRR Jingrong Lin, Keegan Lensink, Eldad Haber
2019	J	`jnl`	Fully Hyperbolic Convolutional Neural Networks. CoRR Keegan Lensink, Eldad Haber, Bas Peters
2019	A*	`conf`	IMEXnet A Forward Stable Deep Neural Network. ICML Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto
2019	J	`jnl`	IMEXnet: A Forward Stable Deep Neural Network. CoRR Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto
2019	J	`jnl`	Symmetric block-low-rank layers for fully reversible multilevel neural networks. CoRR Bas Peters, Eldad Haber, Keegan Lensink