Mohammad Havaei
Mohammad Havaei
Imagia
確認したメール アドレス: usherbrooke.ca - ホームページ
タイトル
引用先
引用先
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
20332017
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
3002017
Hemis: Hetero-modal image segmentation
M Havaei, N Guizard, N Chapados, Y Bengio
International Conference on Medical Image Computing and Computer-Assisted …, 2016
1452016
A convolutional neural network approach to brain tumor segmentation
M Havaei, F Dutil, C Pal, H Larochelle, PM Jodoin
BrainLes 2015, 195-208, 2015
812015
Deep learning trends for focal brain pathology segmentation in MRI
M Havaei, N Guizard, H Larochelle, PM Jodoin
Machine learning for health informatics, 125-148, 2016
702016
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
622014
Within-brain classification for brain tumor segmentation
M Havaei, H Larochelle, P Poulin, PM Jodoin
International journal of computer assisted radiology and surgery 11 (5), 777-788, 2016
392016
Learning to learn with conditional class dependencies
X Jiang, M Havaei, F Varno, G Chartrand, N Chapados, S Matwin
international conference on learning representations, 2018
362018
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
232020
Infomask: Masked variational latent representation to localize chest disease
SA Taghanaki, M Havaei, T Berthier, F Dutil, L Di Jorio, G Hamarneh, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
212019
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
202017
CAGNet: Content-aware guidance for salient object detection
S Mohammadi, M Noori, A Bahri, SG Majelan, M Havaei
Pattern Recognition 103, 107303, 2020
182020
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
132019
Attentive task-agnostic meta-learning for few-shot text classification
X Jiang, M Havaei, G Chartrand, H Chouaib, T Vincent, A Jesson, ...
122018
A convolutional neural network approach to brain lesion segmentation
F Dutil, M Havaei, C Pal, H Larochelle, P Jodoin
Ischemic Stroke Lesion Segment, 51-6, 2015
112015
Task adaptive metric space for medium-shot medical image classification
X Jiang, L Ding, M Havaei, A Jesson, S Matwin
International Conference on Medical Image Computing and Computer-Assisted …, 2019
92019
Continuous domain adaptation with variational domain-agnostic feature replay
Q Lao, X Jiang, M Havaei, Y Bengio
arXiv preprint arXiv:2003.04382, 2020
72020
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
72018
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
62020
Jigsaw-vae: Towards balancing features in variational autoencoders
SA Taghanaki, M Havaei, A Lamb, A Sanghi, A Danielyan, T Custis
arXiv preprint arXiv:2005.05496, 2020
42020
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
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