Alert button
Picture for Brennan Nichyporuk

Brennan Nichyporuk

Alert button

Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI

Apr 01, 2022
Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel

Figure 1 for Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI
Figure 2 for Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI
Figure 3 for Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI
Figure 4 for Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI
Viaarxiv icon

Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation

Aug 02, 2021
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios Tsaftaris, Douglas L. Arnold, Tal Arbel

Figure 1 for Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
Figure 2 for Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
Figure 3 for Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
Figure 4 for Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
Viaarxiv icon

Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting

Jul 27, 2021
Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel

Figure 1 for Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting
Viaarxiv icon

HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images

Apr 09, 2021
Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel

Figure 1 for HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Figure 2 for HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Figure 3 for HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Figure 4 for HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Viaarxiv icon

Accounting for Variance in Machine Learning Benchmarks

Mar 01, 2021
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent

Figure 1 for Accounting for Variance in Machine Learning Benchmarks
Figure 2 for Accounting for Variance in Machine Learning Benchmarks
Figure 3 for Accounting for Variance in Machine Learning Benchmarks
Figure 4 for Accounting for Variance in Machine Learning Benchmarks
Viaarxiv icon