Sequential decisions: a computational comparison of observational and reinforcement accounts
Mohammadi Sepahvand, Nazanin, Stöttinger, Elisabeth, Danckert, James, Anderson, Britt
Published in PloS one (01.04.2014)
Published in PloS one (01.04.2014)
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Journal Article
CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels
Sepahvand, Nazanin Mohammadi, Hassner, Tal, Arnold, Douglas L., Arbel, Tal
Published in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
Published in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
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Book Chapter
Improving Pathological Structure Segmentation via Transfer Learning Across Diseases
Kaur, Barleen, Lemaître, Paul, Mehta, Raghav, Sepahvand, Nazanin Mohammadi, Precup, Doina, Arnold, Douglas, Arbel, Tal
Published in Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
Published in Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
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Book Chapter
Data Selection for Transfer Unlearning
Sepahvand, Nazanin Mohammadi, Dumoulin, Vincent, Triantafillou, Eleni, Dziugaite, Gintare Karolina
Year of Publication 16.05.2024
Year of Publication 16.05.2024
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Journal Article
Data Selection for Transfer Unlearning
Nazanin Mohammadi Sepahvand, Dumoulin, Vincent, Triantafillou, Eleni, Gintare, Karolina Dziugaite
Published in arXiv.org (16.05.2024)
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Published in arXiv.org (16.05.2024)
Paper
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Vadacchino, Saverio, Mehta, Raghav, Sepahvand, Nazanin Mohammadi, Nichyporuk, Brennan, Clark, James J, Arbel, Tal
Year of Publication 30.03.2021
Year of Publication 30.03.2021
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Journal Article
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Vadacchino, Saverio, Mehta, Raghav, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, Clark, James J, Arbel, Tal
Published in arXiv.org (12.05.2021)
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Published in arXiv.org (12.05.2021)
Paper