Stebėti
Mohammad Havaei
Mohammad Havaei
Google
Patvirtintas el. paštas google.com - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Brain tumor segmentation with deep neural networks
M Havaei, A Davy, D Warde-Farley, A Biard, A Courville, Y Bengio, C Pal, ...
Medical image analysis 35, 18-31, 2017
38022017
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
5522017
Hemis: Hetero-modal image segmentation
M Havaei, N Guizard, N Chapados, Y Bengio
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
3412016
Implicit class-conditioned domain alignment for unsupervised domain adaptation
X Jiang, Q Lao, S Matwin, M Havaei
International conference on machine learning, 4816-4827, 2020
1502020
A convolutional neural network approach to brain tumor segmentation
M Havaei, F Dutil, C Pal, H Larochelle, PM Jodoin
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
1332016
Deep learning trends for focal brain pathology segmentation in MRI
M Havaei, N Guizard, H Larochelle, PM Jodoin
Machine learning for health informatics: state-of-the-art and future …, 2016
1222016
CAGNet: Content-aware guidance for salient object detection
S Mohammadi, M Noori, A Bahri, SG Majelan, M Havaei
Pattern Recognition 103, 107303, 2020
1172020
Efficient interactive brain tumor segmentation as within-brain kNN classification
M Havaei, PM Jodoin, H Larochelle
2014 22nd international conference on pattern recognition, 556-561, 2014
1112014
Learning to learn with conditional class dependencies
X Jiang, M Havaei, F Varno, G Chartrand, N Chapados, S Matwin
international conference on learning representations, 2019
952019
Within-brain classification for brain tumor segmentation
M Havaei, H Larochelle, P Poulin, PM Jodoin
International journal of computer assisted radiology and surgery 11, 777-788, 2016
912016
Infomask: Masked variational latent representation to localize chest disease
SA Taghanaki, M Havaei, T Berthier, F Dutil, L Di Jorio, G Hamarneh, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
502019
Dual adversarial inference for text-to-image synthesis
Q Lao, M Havaei, A Pesaranghader, F Dutil, LD Jorio, T Fevens
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
492019
Continuous domain adaptation with variational domain-agnostic feature replay
Q Lao, X Jiang, M Havaei, Y Bengio
arXiv preprint arXiv:2003.04382, 2020
402020
DFNet: Discriminative feature extraction and integration network for salient object detection
M Noori, S Mohammadi, SG Majelan, A Bahri, M Havaei
Engineering Applications of Artificial Intelligence 89, 103419, 2020
362020
Learnable explicit density for continuous latent space and variational inference
CW Huang, A Touati, L Dinh, M Drozdzal, M Havaei, L Charlin, ...
arXiv preprint arXiv:1710.02248, 2017
312017
Hypothesis disparity regularized mutual information maximization
Q Lao, X Jiang, M Havaei
AAAI 2021, 2021
282021
Revisiting learnable affines for batch norm in few-shot transfer learning
M Yazdanpanah, AA Rahman, M Chaudhary, C Desrosiers, M Havaei, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
272022
Conditional generation of medical images via disentangled adversarial inference
M Havaei, X Mao, Y Wang, Q Lao
Medical image analysis 72, 102106, 2021
272021
Adabest: Minimizing client drift in federated learning via adaptive bias estimation
F Varno, M Saghayi, L Rafiee Sevyeri, S Gupta, S Matwin, M Havaei
European Conference on Computer Vision, 710-726, 2022
242022
On the importance of attention in meta-learning for few-shot text classification
X Jiang, M Havaei, G Chartrand, H Chouaib, T Vincent, A Jesson, ...
arXiv preprint arXiv:1806.00852, 2018
232018
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