Mohammad Havaei

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 43

Top Topics

Brain Tumor Segmentation

Top Venues

Medical Image Anal.

DGM4MICCAI/DALI@MICCAI

Pattern Recognit.

Publications

Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. CoRR (2024)
Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. CoRR (2024)
Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei
Source-free Domain Adaptation Requires Penalized Diversity. CoRR (2023)
Farshid Varno, Marzie Saghayi, Laya Rafiee, Sharut Gupta, Stan Matwin, Mohammad Havaei
Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. CoRR (2022)
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) (2022)
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 (2022)
Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio
FL Games: A federated learning framework for distribution shifts. CoRR (2022)
Atefeh Ziaei, Hamed Azarnoush, Seyyed Ali Seyyedsalehi, Mohammad Havaei
Stain transfer using Generative Adversarial Networks and disentangled features. Comput. Biol. Medicine 142 (2022)
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)
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)
Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou
Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning. CoRR (2022)
Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio
FL Games: A Federated Learning Framework for Distribution Shifts. CoRR (2022)
Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei
CT-SGAN: Computed Tomography Synthesis GAN. CoRR (2021)
Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei
CT-SGAN: Computed Tomography Synthesis GAN. DGM4MICCAI/DALI@MICCAI (2021)
Qicheng Lao, Xiang Jiang, Mohammad Havaei
Hypothesis Disparity Regularized Mutual Information Maximization. AAAI (2021)
Mohammad Havaei, Ximeng Mao, Yipping Wang, Qicheng Lao
Conditional Generation of Medical Images via Disentangled Adversarial Inference. DGM4MICCAI/DALI@MICCAI (2021)
Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei
FoCL: Feature-oriented continual learning for generative models. Pattern Recognit. 120 (2021)
Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
Conditional generation of medical images via disentangled adversarial inference. Medical Image Anal. 72 (2021)
Qicheng Lao, Xiang Jiang, Mohammad Havaei
Hypothesis Disparity Regularized Mutual Information Maximization. CoRR (2020)
Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei
DFNet: Discriminative feature extraction and integration network for salient object detection. CoRR (2020)
Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. CoRR (2020)
Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. CoRR (2020)
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML (2020)
Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei
CAGNet: Content-Aware Guidance for Salient Object Detection. Pattern Recognit. 103 (2020)
Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
Conditional Generation of Medical Images via Disentangled Adversarial Inference. CoRR (2020)
Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei
FoCL: Feature-Oriented Continual Learning for Generative Models. CoRR (2020)
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR (2020)
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 (2020)
Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens
Dual Adversarial Inference for Text-to-Image Synthesis. CoRR (2019)
Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei
CAGNet: Content-Aware Guidance for Salient Object Detection. CoRR (2019)
Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens
Dual Adversarial Inference for Text-to-Image Synthesis. ICCV (2019)
Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin
Task Adaptive Metric Space for Medium-Shot Medical Image Classification. MICCAI (1) (2019)
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)
Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin
Learning to Learn with Conditional Class Dependencies. ICLR (Poster) (2019)
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 (2019)
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 (2018)
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 (2017)
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 (2017)
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 (2017)
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio
HeMIS: Hetero-Modal Image Segmentation. MICCAI (2) (2016)
Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin
Within-brain classification for brain tumor segmentation. Int. J. Comput. Assist. Radiol. Surg. 11 (5) (2016)
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio
HeMIS: Hetero-Modal Image Segmentation. CoRR (2016)
Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin
Deep learning trends for focal brain pathology segmentation in MRI. CoRR (2016)
Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin
Within-Brain Classification for Brain Tumor Segmentation. CoRR (2015)
Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin
A Convolutional Neural Network Approach to Brain Tumor Segmentation. Brainles@MICCAI (2015)
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 (2015)
Mohammad Havaei, Pierre-Marc Jodoin, Hugo Larochelle
Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification. ICPR (2014)
J. Rafid Siddiqui, Mohammad Havaei, Siamak Khatibi, Craig A. Lindley
A novel plane extraction approach using supervised learning. Mach. Vis. Appl. 24 (6) (2013)
Sanaz Moshirian, Soheil Ghadami, Mohammad Havaei
Blind Channel Equalization CoRR (2012)
Mohammad Havaei, Nandivada Krishna Prasad, Velleshala Sudheer
Elimination of ISI Using Improved LMS Based Decision Feedback Equalizer CoRR (2012)