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2020 – today
- 2023
[i25]Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei:
Source-free Domain Adaptation Requires Penalized Diversity. CoRR abs/2304.02798 (2023)- 2022
- [j10]Atefeh Ziaei, Hamed Azarnoush
, Seyyed Ali Seyyedsalehi, Mohammad Havaei:
Stain transfer using Generative Adversarial Networks and disentangled features. Comput. Biol. Medicine 142: 105219 (2022) - [j9]Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio:
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4466-4478 (2022) - [c13]Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou:
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning. CVPR 2022: 9099-9108 - [c12]Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei:
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. ECCV (23) 2022: 710-726 - [i24]Farshid Varno, Marzie Saghayi, Laya Rafiee, Sharut Gupta, Stan Matwin, Mohammad Havaei:
Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. CoRR abs/2204.13170 (2022) - [i23]Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio:
FL Games: A federated learning framework for distribution shifts. CoRR abs/2205.11101 (2022) - [i22]Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou:
FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR abs/2206.00092 (2022) - [i21]Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio:
FL Games: A Federated Learning Framework for Distribution Shifts. CoRR abs/2211.00184 (2022) - [i20]Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou:
Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning. CoRR abs/2211.15071 (2022) - 2021
- [j8]Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao:
Conditional generation of medical images via disentangled adversarial inference. Medical Image Anal. 72: 102106 (2021) - [j7]Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei:
FoCL: Feature-oriented continual learning for generative models. Pattern Recognit. 120: 108127 (2021) - [c11]Qicheng Lao, Xiang Jiang, Mohammad Havaei:
Hypothesis Disparity Regularized Mutual Information Maximization. AAAI 2021: 8243-8251 - [c10]Mohammad Havaei, Ximeng Mao, Yipping Wang, Qicheng Lao:
Conditional Generation of Medical Images via Disentangled Adversarial Inference. DGM4MICCAI/DALI@MICCAI 2021: 45-66 - [c9]Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei:
CT-SGAN: Computed Tomography Synthesis GAN. DGM4MICCAI/DALI@MICCAI 2021: 67-79 - [i19]Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei:
CT-SGAN: Computed Tomography Synthesis GAN. CoRR abs/2110.09288 (2021) - 2020
- [j6]Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei:
DFNet: Discriminative feature extraction and integration network for salient object detection. Eng. Appl. Artif. Intell. 89: 103419 (2020) - [j5]Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei:
CAGNet: Content-Aware Guidance for Salient Object Detection. Pattern Recognit. 103: 107303 (2020) - [c8]Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei:
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML 2020: 4816-4827 - [i18]Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei:
FoCL: Feature-Oriented Continual Learning for Generative Models. CoRR abs/2003.03877 (2020) - [i17]Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio:
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. CoRR abs/2003.04382 (2020) - [i16]Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei:
DFNet: Discriminative feature extraction and integration network for salient object detection. CoRR abs/2004.01573 (2020) - [i15]Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis:
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. CoRR abs/2005.05496 (2020) - [i14]Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei:
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR abs/2006.04996 (2020) - [i13]Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao:
Conditional Generation of Medical Images via Disentangled Adversarial Inference. CoRR abs/2012.04764 (2020) - [i12]Qicheng Lao, Xiang Jiang, Mohammad Havaei:
Hypothesis Disparity Regularized Mutual Information Maximization. CoRR abs/2012.08072 (2020)
2010 – 2019
- 2019
- [c7]Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. ICCV 2019: 7566-7575 - [c6]Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin:
Learning to Learn with Conditional Class Dependencies. ICLR (Poster) 2019 - [c5]Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin:
Task Adaptive Metric Space for Medium-Shot Medical Image Classification. MICCAI (1) 2019: 147-155 - [c4]Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio:
InfoMask: Masked Variational Latent Representation to Localize Chest Disease. MICCAI (6) 2019: 739-747 - [i11]Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio:
InfoMask: Masked Variational Latent Representation to Localize Chest Disease. CoRR abs/1903.11741 (2019) - [i10]Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. CoRR abs/1908.05324 (2019) - [i9]Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei:
CAGNet: Content-Aware Guidance for Salient Object Detection. CoRR abs/1911.13168 (2019) - 2018
- [i8]Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin:
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. CoRR abs/1806.00852 (2018) - 2017
- [j4]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain tumor segmentation with Deep Neural Networks. Medical Image Anal. 35: 18-31 (2017) - [j3]Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.:
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 35: 250-269 (2017) - [i7]Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville:
Learnable Explicit Density for Continuous Latent Space and Variational Inference. CoRR abs/1710.02248 (2017) - 2016
- [j2]Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin:
Within-brain classification for brain tumor segmentation. Int. J. Comput. Assist. Radiol. Surg. 11(5): 777-788 (2016) - [c3]Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio:
HeMIS: Hetero-Modal Image Segmentation. MICCAI (2) 2016: 469-477 - [p1]Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin:
Deep Learning Trends for Focal Brain Pathology Segmentation in MRI. Machine Learning for Health Informatics 2016: 125-148 - [i6]Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio:
HeMIS: Hetero-Modal Image Segmentation. CoRR abs/1607.05194 (2016) - [i5]Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin:
Deep learning trends for focal brain pathology segmentation in MRI. CoRR abs/1607.05258 (2016) - 2015
- [c2]Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin:
A Convolutional Neural Network Approach to Brain Tumor Segmentation. Brainles@MICCAI 2015: 195-208 - [i4]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain Tumor Segmentation with Deep Neural Networks. CoRR abs/1505.03540 (2015) - [i3]Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin:
Within-Brain Classification for Brain Tumor Segmentation. CoRR abs/1510.01344 (2015) - 2014
- [c1]Mohammad Havaei, Pierre-Marc Jodoin, Hugo Larochelle:
Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification. ICPR 2014: 556-561 - 2013
- [j1]J. Rafid Siddiqui, Mohammad Havaei, Siamak Khatibi, Craig A. Lindley:
A novel plane extraction approach using supervised learning. Mach. Vis. Appl. 24(6): 1229-1237 (2013) - 2012
- [i2]Mohammad Havaei, Nandivada Krishna Prasad, Velleshala Sudheer:
Elimination of ISI Using Improved LMS Based Decision Feedback Equalizer. CoRR abs/1208.2199 (2012) - [i1]Sanaz Moshirian, Soheil Ghadami, Mohammad Havaei:
Blind Channel Equalization. CoRR abs/1208.2205 (2012)
Coauthor Index
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last updated on 2023-10-02 01:19 CEST by the dblp team
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