Nazanin Mohammadi Sepahvand

According to our database, Nazanin Mohammadi Sepahvand authored at least 6 papers between 2018 and 2022.

Collaborative distances:

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

2022

BD-KD: Balancing the Divergences for Online Knowledge Distillation.

Ibtihel Amara, Nazanin Mohammadi Sepahvand, Brett H. Meyer, Warren J. Gross, James J. Clark

CoRR, 2022

2021

Accounting for Variance in Machine Learning Benchmarks.

Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent

Proceedings of Machine Learning and Systems 2021, 2021

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

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

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images.

Nazanin Mohammadi Sepahvand, Douglas L. Arnold, Tal Arbel

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Improving Pathological Structure Segmentation via Transfer Learning Across Diseases.

Barleen Kaur, Paul Lemaître, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas L. Arnold, Tal Arbel

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2018

CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels.

Nazanin Mohammadi Sepahvand, Tal Hassner, Douglas L. Arnold, Tal Arbel

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018