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CT-SGAN: Computed Tomography Synthesis GAN

Nov 04, 2021
Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei

* In Proceedings of MICCAI Deep Generative Models workshop, October 2021 

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Hypothesis Disparity Regularized Mutual Information Maximization

Dec 15, 2020
Qicheng Lao, Xiang Jiang, Mohammad Havaei

* Accepted to AAAI 2021 

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Conditional Generation of Medical Images via Disentangled Adversarial Inference

Dec 08, 2020
Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao

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Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation

Jun 09, 2020
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei

* Accepted at ICML2020. For code, see 

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Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders

May 12, 2020
Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis

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DFNet: Discriminative feature extraction and integration network for salient object detection

Apr 03, 2020
Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei

* Accepted by Engineering Applications of Artificial Intelligence. 22 pages, 8 figures 

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Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay

Mar 09, 2020
Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio

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FoCL: Feature-Oriented Continual Learning for Generative Models

Mar 09, 2020
Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei

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CAGNet: Content-Aware Guidance for Salient Object Detection

Nov 29, 2019
Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei

* 28 pages, 10 figures, 4 table, Submitted to Elsevier, Pattern Recognition 

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Dual Adversarial Inference for Text-to-Image Synthesis

Aug 14, 2019
Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di Jorio, Thomas Fevens

* Accepted to ICCV 2019 

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InfoMask: Masked Variational Latent Representation to Localize Chest Disease

Mar 28, 2019
Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Ghassan Hamarneh, Yoshua Bengio

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On the Importance of Attention in Meta-Learning for Few-Shot Text Classification

Jun 03, 2018
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin

* 13 pages, 4 figures, submitted to NIPS 

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Learnable Explicit Density for Continuous Latent Space and Variational Inference

Oct 06, 2017
Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron Courville

* 2 figures, 5 pages, submitted to ICML Principled Approaches to Deep Learning workshop 

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Deep learning trends for focal brain pathology segmentation in MRI

Jan 24, 2017
Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin

* Published in Machine Learning for Health Informatics 

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HeMIS: Hetero-Modal Image Segmentation

Jul 18, 2016
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio

* Accepted as an oral presentation at MICCAI 2016 

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Brain Tumor Segmentation with Deep Neural Networks

May 20, 2016
Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle

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Within-Brain Classification for Brain Tumor Segmentation

Oct 05, 2015
Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin

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Elimination of ISI Using Improved LMS Based Decision Feedback Equalizer

Aug 10, 2012
Mohammad Havaei, Nandivada Krishna Prasad, Velleshala Sudheer

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