E. Bagheri, Y. Mohsenzadeh, "Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images", arXiv, 2024 [PDF].
Z. Zhang, Y. Mohsenzadeh, Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume, arXiv, 2024 [PDF].
M. Younesi, Y. Mohsenzadeh, "Controlling memorability of face images", arXiv 2022 [PDF].
Y. Hu, Y. Mohsenzadeh, Neural Processing of Naturalistic Audiovisual Events in Space and Time, Accepted in Nature Communications Biology (In Press) [Preprint PDF].
M. Jahanian, M. Joanisse, B. Wang, Y. Mohsenzadeh, "Multivariate Pattern Analysis of EEG Reveals Neural Mechanism of Naturalistic Target Processing in Attentional Blink", Journal of Neuroscience (In Press), 2024 [Preprint PDF].
H. Vahidi, A. Kowalczyk, K. Stubbs, M. Musabi, S. Roychaudhuri, M. Kent, S. Bhattacharya, S. De Ribaupierre, K. St. Lawrence, Y. Mohsenzadeh, E. Duerden, "Investigating task-free functional connectivity patterns in newborns using functional near-infrared spectroscopy", Brain and Behavior (In Press), 2024 [Preprint PDF].
H. W. Han, R. Dhar, Q. Yang, M. H. Behbahani, M. A. Martínez Ortiz, T. S. Oladele, D. C Dima, H. Li, A. Søgaard, Y. Mohsenzadeh, "Investigating the role of modality and training objective on representational alignment between transformers and the brain", NeurIPS, UniReps Workshop, 2024 [PDF].
R. Meshkinnejad, J. Mei, Z. Zhang, D. Lizotte, Y. Mohsenzadeh, "Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks ", NeurIPS, UniReps Workshop, 2024 [Preprint PDF].
B. Pho, R.A. Stevenson, S. Saljoughi, Y. Mohsenzadeh*, B. Stojanoski*, "Identifying developmental changes in functional brain connectivity associated with cognitive functioning in children and adolescents with ADHD", Developmental Cognitive Neuroscience, 2024 [PDF].
D. C. Dima, S. Janarthanan, J. C Culham, Y. Mohsenzadeh, “Shared representations of human actions across vision and language”, Neuropsychologia, 2024 [PDF].
S. Charmi Motlagh, M. Joanisse, B. Wang, Y. Mohsenzadeh, “Unveiling the neural dynamics of conscious perception in rapid object recognition”, NeuroImage, 2024 [PDF].
B. Lahner*, Y. Mohsenzadeh*, C. Mullin*, A. Oliva, " Visual perception of highly memorable images is mediated by a distributed network of ventral visual regions that enable a late memorability response ", PLOS Biology, 2024 [PDF].
M. Younesi, Y. Mohsenzadeh, " Predicting Memorability of Face Photographs with Deep Neural Networks", Nature Scientific Reports 2024 [PDF].
S. Asgarian, Z. Wang, F. Wan, C. M. Wong, F. Liu, Y. Mohsenzadeh, B. Wang, and C. X. Ling, Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces, IEEE Transactions on Instrumentation & Measurement, 2024 [PDF].
S.H. Chou, M. Kowal, Y. Niknam, D. Moyano, S. Mehdi, R. Pito, C. Zhang, I. Knopke, S. A. Kocak, L. Sigal, and Y. Mohsenzadeh, Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews), Canadian AI Conference 2024 [PDF].
G. Almog, S. A. Naeini, Y. Hu, E. G. Duerden, Y. Mohsenzadeh, " Memoir study: Investigating Image Memorability Across Developmental Stages ", PlosOne 2023, [PDF] [Data] [Project Page].
J. Mei, R. Meshkinnejad, Y. Mohsenzadeh, "Effects of neuromodulation-inspired mechanisms on the performance of deep neural networks in a spatial learning task", iScience -Cell Press, 2023 (PDF).
M. X. Lowe*,Y. Mohsenzadeh*, B. Lahner, I. Charest, A. Oliva, S. Teng "Cochlea to categories: The spatiotemporal dynamics of semantic auditory Representations", Cognitive Neuropsychology 2022. [PDF]
J. T. Jewell, V. R. Khazaei, Y. Mohsenzadeh "OLED: One-Class learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection", Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2022 [PDF][Code]
V. R. Khazaie, N. Bayat, Y. Mohsenzadeh, " Multi Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition" Proceedings of Canadian AI Conference 2022 [PDF][Code]
V.R. Khazaie, A. Wong, J. T. Jewell, Y. Mohsenzadeh, "Anomaly Detection with Adversarially Learned Perturbations of Latent Space", Proceedings of the 19th Conference on Robots and Vision 2022 [PDF][Code]
E. S. Nichols*, H. S. Pathak*, R. Bgeginski, M. F. Mottola, I. Giroux, R. J. Van Lieshout, Y. Mohsenzadeh, and E. Duerden. "Machine learning-based predictive modeling of resilience to stressors in pregnant women during COVID-19: a prospective cohort study." PLOS One, e0272862, 2022 [PDF].
A. Papadopoulos, E. S. Nichols, Y. Mohsenzadeh, I. Giroux, M.F. Mottola, R. J. Van Lieshout, E. G. Duerden, "Prenatal and postpartum maternal mental health and neonatal motor outcomes during the COVID-19 pandemic", Journal of Affective Disorder Reports 2022 (In press).
B. M. Hart, ..., Y. Mohsenzadeh, ..., P. Wallisch, "Neuromatch Academy: a 3-week, online summer school in computational neuroscience", Journal of Open Source Education 2022 [PDF]
H. Al-Tahan, Y. Mohsenzadeh "Reconstructing feedback representations in ventral visual pathway with a generative adversarial autoencoder" PLOS Computational Biology 2021 [PDF][Code]
N. Bayat, V.R Khazaei, Y. Mohsenzadeh "Fast inverse mapping of face GANs" ICASSP 2021 [PDF][Code]
H. Al-Tahan, Y. Mohsenzadeh "CLAR: Contrastive Learning of Auditory Representations" Proceedings of Machine Learning Research, AISTATS 2021 [PDF][Code]
N.Bayat , V.R.Khazaei, A. Keyes , Y. Mohsenzadeh " Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection" Canadian AI 2021 [PDF][Code]
A. Papadopoulos, E. S. Nichols, Y. Mohsenzadeh , I. Giroux I, M. F. Mottola, Van R. J. Lieshout, E. G. Duerden "Depression in pregnant women with and without COVID-19". BJPsych Open 2021 [PDF].
Y. Mohsenzadeh, C. Mullin, B. Lahner, A. Oliva "Emergence of Visual Center-Periphery Spatial Organization in Deep Convolutional Neural Networks" (Nature Scientific Reports 2020 - Webpage)
E. Hatamimajoumerd, A. Talebpour, Y. Mohsenzadeh "Enhancing multivariate pattern analysis for magnetoencephalography through relevant sensor selection" (International Journal of Imaging Systems and Technology 2020)
E. Zanganeh, M. Rahmati, Y. Mohsenzadeh “Low-resolution face recognition using a two-branch deep convolutional neural network approach” ( Expert Systems With Applications 2020 )
A. Jaegle*, V. Mehrpour*, Y. Mohsenzadeh*, T. Meyer, A. Oliva, N. Rust "Population response magnitude variation in inferotemporal cortex predicts image memorability" ( eLife 2019)
K. Rajaei, Y. Mohsenzadeh, R. Ebrahimpour, S-M. Khaligh-Razavi "Beyond Core Object Recognition: Recurrent Processes Account for Object Recognition Under Occlusion" (PLOS Computational Biology 2019)
Y. Mohsenzadeh, C. Mullin, A. Oliva, D. Pantazis "The Perceptual Neural Trace of Memorable Unseen Scenes" (Nature Scientific Reports 2019)
R.M Cichy, G. Roig, A. Andonian, K. Dwivedi, B. Lahner, A. Lascelles, Y. Mohsenzadeh, K. Ramakrishnan, A. Oliva "The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence" (CCN 2019)
B. Lahner, S. Teng, M. Lowe, I. Charest, A. Oliva, Y. Mohsenzadeh “The Emergence of Early Sound Categorical Responses in the Human Brain” NeurIPS workshop, Vancouver, Canada, 2019
Y. Mohsenzadeh, C. Mullin, B. Lahner, R. M. Cichy, A. Oliva “Reliability and generalizability of similarity-based fusion of fMRI and MEG data in the ventral and dorsal streams” (Vision, 2019)
Y. Mohsenzadeh, S. Qin, R. M. Cichy, D. Pantazis "Ultra-Rapid Serial Visual Presentation Reveals Dynamics of Feedforward and Feedback Processes” (eLife 2018)
D. Pantazis D, M. Fang , S. Qin, Y. Mohsenzadeh, Q. Li, R. M. Cichy “Decoding the orientation of contrast edges from evoked and induced responses”, (NeuroImage 2018)
A. Mirzaiee, Y. Mohsenzadeh, H. Sheikhzadeh "Variational Relevant Sample-Feature Machine: A fully Bayesian approach for embedded feature select” (Neurocomputing 2017)
Y. Mohsenzadeh, H. Sheikhzadeh, S. Nazari "Incremental Relevance Sample-Feature Machine: A Fast Marginal Likelihood Maximization Approach for Joint Feature Selection and Classification" (Pattern Recognition, 2016)
Y. Mohsenzadeh, S. Dash, J. D. Crawford "A State Space Model for Spatial Updating of Remembered Visual Targets During Eye Movements" (Frontiers in Systems Neuroscience 2016)
Y. Mohsenzadeh, H. Sheikhzadeh "Gaussian Kernel Width Optimization for Sparse Bayesian Learning"” (IEEE Trans. On Neural Networks and Learning Systems 2015)
A. Mirzaiee, Y. Mohsenzadeh, H. Sheikhzadeh “Adaptive Gaussian Kernel Learning for Sparse Bayesian Classification: An Approach for Silhouette Based Vehicle Classification” (MVIP), IEEE, PP. 168 - 171, 2015. 26.
Y. Mohsenzadeh, H. Sheikhzadeh, Ali M. Reza, N. Bathaiee, M., M. Kalayeh "The Relevance Sample-Feature Machine: A Sparse Bayesian Learning Approach to Joint Feature-Sample Selection" (IEEE Trans. On Cybernetics 2014)
"Histogram Shift Steganography: A Technique to Thwart Histogram Based Steganalysis” Y. Mohsenzadeh, J. Mohajeri and S. Ghaemmaghami, (IEEE Proceedings of Second International Workshop on Computer Science and Engineering, Vol. 2, Qingdao, China, 28-30 Oct. 2009)
M. Sefidgaran, B. Akhbari, Y. Mohsenzadeh, M. R. Aref "Reliable Source Transmission Over Relay Networks With Side Information" (IEEE International Symposisium on Information Theory, Seoul, Korea, pp: 699-703, 2009. 28. S. S)
Karimabadi, Y. Mohsenzadeh, A. R. Attari, and S. M. Moghadasi "Bandwidth Enhancement of Single-feed Circularly Polarized Equilateral Triangular Microstrip Antenna" (Progress in Electromagnetics Research Symposium, angzhou, China, 24- 28 March, 2008)
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