Elimination of ISI Using Improved LMS Based Decision Feedback Equalizer - Mohammad Havaei; Nandivada Krishna Prasad; Velleshala Sudheer (CoRR, 2012)

Blind Channel Equalization - Sanaz Moshirian; Soheil Ghadami; Mohammad Havaei (CoRR, 2012)

A novel plane extraction approach using supervised learning. - J. Rafid Siddiqui; Mohammad Havaei; Siamak Khatibi; Craig A. Lindley (Mach. Vis. Appl., 2013)

Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification. - Mohammad Havaei; Pierre-Marc Jodoin; Hugo Larochelle (ICPR, 2014)

A Convolutional Neural Network Approach to Brain Tumor Segmentation. - Mohammad Havaei; Francis Dutil; Chris Pal; Hugo Larochelle; Pierre-Marc Jodoin (Brainles@MICCAI, 2015)

HeMIS: Hetero-Modal Image Segmentation. - Mohammad Havaei; Nicolas Guizard; Nicolas Chapados; Yoshua Bengio (MICCAI (2), 2016)

Within-brain classification for brain tumor segmentation. - Mohammad Havaei; Hugo Larochelle; Philippe Poulin; Pierre-Marc Jodoin (Int. J. Comput. Assist. Radiol. Surg., 2016)

Deep learning trends for focal brain pathology segmentation in MRI. - Mohammad Havaei; Nicolas Guizard; Hugo Larochelle; Pierre-Marc Jodoin (CoRR, 2016)

Deep Learning Trends for Focal Brain Pathology Segmentation in MRI. - Mohammad Havaei; Nicolas Guizard; Hugo Larochelle; Pierre-Marc Jodoin (Machine Learning for Health Informatics, 2016)

Learnable Explicit Density for Continuous Latent Space and Variational Inference. - Chin-Wei Huang; Ahmed Touati; Laurent Dinh; Michal Drozdzal; Mohammad Havaei; Laurent Charlin; Aaron C. Courville (CoRR, 2017)

Brain tumor segmentation with Deep Neural Networks. - Mohammad Havaei; Axel Davy; David Warde-Farley; Antoine Biard; Aaron C. Courville; Yoshua Bengio; Chris Pal; Pierre-Marc Jodoin; Hugo Larochelle (Medical Image Anal., 2017)

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. - Oskar Maier; Bjoern H. Menze; Janina von der Gablentz; Levin Häni; Mattias P. Heinrich; Matthias Liebrand; Stefan Winzeck; Abdul Basit 007; Paul Bentley; Liang Chen 018; Daan Christiaens; Francis Dutil; et al. (Medical Image Anal., 2017)

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. - Xiang Jiang 001; Mohammad Havaei; Gabriel Chartrand; Hassan Chouaib; Thomas Vincent; Andrew Jesson; Nicolas Chapados; Stan Matwin (CoRR, 2018)

Dual Adversarial Inference for Text-to-Image Synthesis. - Qicheng Lao; Mohammad Havaei; Ahmad Pesaranghader; Francis Dutil; Lisa Di-Jorio; Thomas Fevens (ICCV, 2019)

Learning to Learn with Conditional Class Dependencies. - Xiang Jiang 001; Mohammad Havaei; Farshid Varno; Gabriel Chartrand; Nicolas Chapados; Stan Matwin (ICLR (Poster), 2019)

Task Adaptive Metric Space for Medium-Shot Medical Image Classification. - Xiang Jiang 001; Liqiang Ding; Mohammad Havaei; Andrew Jesson; Stan Matwin (MICCAI (1), 2019)

InfoMask: Masked Variational Latent Representation to Localize Chest Disease. - Saeid Asgari Taghanaki; Mohammad Havaei; Tess Berthier; Francis Dutil; Lisa Di-Jorio; Ghassan Hamarneh; Yoshua Bengio (MICCAI (6), 2019)

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. - Xiang Jiang 001; Qicheng Lao; Stan Matwin; Mohammad Havaei (ICML, 2020)

Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. - Qicheng Lao; Xiang Jiang 001; Mohammad Havaei; Yoshua Bengio (CoRR, 2020)

Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. - Saeid Asgari Taghanaki; Mohammad Havaei; Alex Lamb; Aditya Sanghi; Ara Danielyan; Tonya Custis (CoRR, 2020)

DFNet: Discriminative feature extraction and integration network for salient object detection. - Mehrdad Noori; Sina Mohammadi; Sina Ghofrani Majelan; Ali Bahri; Mohammad Havaei (Eng. Appl. Artif. Intell., 2020)

CAGNet: Content-Aware Guidance for Salient Object Detection. - Sina Mohammadi; Mehrdad Noori; Ali Bahri; Sina Ghofrani Majelan; Mohammad Havaei (Pattern Recognit., 2020)

Hypothesis Disparity Regularized Mutual Information Maximization. - Qicheng Lao; Xiang Jiang 001; Mohammad Havaei (AAAI, 2021)

CT-SGAN: Computed Tomography Synthesis GAN. - Ahmad Pesaranghader; Yiping Wang 004; Mohammad Havaei (DGM4MICCAI/DALI@MICCAI, 2021)

Conditional generation of medical images via disentangled adversarial inference. - Mohammad Havaei; Ximeng Mao; Yiping Wang 004; Qicheng Lao (Medical Image Anal., 2021)

FoCL: Feature-oriented continual learning for generative models. - Qicheng Lao; Mehrzad Mortazavi; Marzieh Tahaei; Francis Dutil; Thomas Fevens; Mohammad Havaei (Pattern Recognit., 2021)

Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning. - Moslem Yazdanpanah; Aamer Abdul Rahman; Muawiz Chaudhary; Christian Desrosiers; Mohammad Havaei; Eugene Belilovsky; Samira Ebrahimi Kahou (CVPR, 2022)

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. - Farshid Varno; Marzie Saghayi; Laya Rafiee Sevyeri; Sharut Gupta; Stan Matwin; Mohammad Havaei (ECCV (23), 2022)

Stain transfer using Generative Adversarial Networks and disentangled features. - Atefeh Ziaei; Hamed Azarnoush; Seyyed Ali Seyyedsalehi; Mohammad Havaei (Comput. Biol. Medicine, 2022)

Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. - Farshid Varno; Marzie Saghayi; Laya Rafiee; Sharut Gupta; Stan Matwin; Mohammad Havaei (CoRR, 2022)

FHIST: A Benchmark for Few-shot Classification of Histological Images. - Fereshteh Shakeri; Malik Boudiaf; Sina Mohammadi; Ivaxi Sheth; Mohammad Havaei; Ismail Ben Ayed; Samira Ebrahimi Kahou (CoRR, 2022)

FL Games: A Federated Learning Framework for Distribution Shifts. - Sharut Gupta; Kartik Ahuja; Mohammad Havaei; Niladri Chatterjee; Yoshua Bengio (CoRR, 2022)

Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning. - Ivaxi Sheth; Aamer Abdul Rahman; Mohammad Havaei; Samira Ebrahimi Kahou (CoRR, 2022)

A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. - Qicheng Lao; Xiang Jiang 001; Mohammad Havaei; Yoshua Bengio (IEEE Trans. Neural Networks Learn. Syst., 2022)

Source-free Domain Adaptation Requires Penalized Diversity. - Laya Rafiee Sevyeri; Ivaxi Sheth; Farhood Farahnak; Alexandre See; Samira Ebrahimi Kahou; Thomas Fevens; Mohammad Havaei (CoRR, 2023)

Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. - Golnoosh Farnadi; Mohammad Havaei; Negar Rostamzadeh (ICML, 2024)

DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. - Nima Fathi; Amar Kumar; Brennan Nichyporuk; Mohammad Havaei; Tal Arbel (MIDL, 2024)

Understanding the Local Geometry of Generative Model Manifolds. - Ahmed Imtiaz Humayun; Ibtihel Amara; Candice Schumann; Golnoosh Farnadi; Negar Rostamzadeh; Mohammad Havaei (CoRR, 2024)

What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. - Ahmed Imtiaz Humayun; Ibtihel Amara; Cristina Nader Vasconcelos; Deepak Ramachandran; Candice Schumann; Junfeng He; Katherine A. Heller; Golnoosh Farnadi; Negar Rostamzadeh; Mohammad Havaei (ICLR, 2025)

EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. - Ibtihel Amara; Ahmed Imtiaz Humayun; Ivana Kajic; Zarana Parekh; Natalie Harris; Sarah Young; Chirag Nagpal; Najoung Kim; Junfeng He; Cristina Nader Vasconcelos; Deepak Ramachandran; Golnoosh Farnadi; et al. (CoRR, 2025)

Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models. - Ruta Binkyte; Ivaxi Sheth; Zhijing Jin 001; Mohammad Havaei; Bernhard Schölkopf; Mario Fritz (CoRR, 2025)

PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion. - Amar Kumar; Anita Kriz; Mohammad Havaei; Tal Arbel (CoRR, 2025)