JOURNALS

“Low-resolution face recognition using a two-branch deep convolutional neural network approach”

E. Zanganeh, M. Rahmati, Y. Mohsenzadeh 

( Expert Systems With Applications 2019 )

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"The Perceptual Neural Trace of Memorable Unseen Scenes"

 

Y. Mohsenzadeh, C. Mullin, A. Oliva, D. Pantazis  

(Nature Scientific Reports 2019) 

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"Beyond Core Object Recognition: Recurrent Processes Account for Object Recognition Under Occlusion"

 

K. Rajaei, Y. Mohsenzadeh, R. Ebrahimpour, S-M. Khaligh-Razavi  

(PLOS Computational Biology 2019)

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"Population response magnitude variation in inferotemporal cortex predicts image memorability"

 A. Jaegle*, V. Mehrpour*, Y. Mohsenzadeh*,  T. Meyer, A. Oliva, N. Rust

( eLife 2019 (coming soon) -biRxiv) 

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"Reliability and generalizability of similarity-based fusion of fMRI and MEG data in the ventral and dorsal visual streams"

 

 Y. Mohsenzadeh*, C. Mullin*, B. Lahner, R. M. Cichy, A. Oliva

(Vision 2019)  Project page

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"Ultra-Rapid Serial Visual Presentation Reveals Dynamics of Feedforward and Feedback Processes in the Ventral Visual Pathway"

 Y. Mohsenzadeh, S. Qin, R. M. Cichy, D. Pantazis

(eLife 2018)

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“Decoding the orientation of contrast edges from evoked and induced responses”

 D. Pantazis D, M. Fang , S. Qin, Y. Mohsenzadeh, Q. Li,  R. M. Cichy 

( NeuroImage 2018)

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"Variational Relevant Sample-Feature Machine: A fully Bayesian approach for embedded feature selection"

  A. Mirzaiee, Y. Mohsenzadeh, H. Sheikhzadeh 

( Neurocomputing 2017)

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"Incremental Relevance Sample-Feature Machine: A Fast Marginal Likelihood Maximization Approach for Joint Feature Selection and Classification"

Y. Mohsenzadeh, H. Sheikhzadeh, S. Nazari 

( Pattern Recognition, 2016) 

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"A State Space Model for Spatial Updating of Remembered Visual Targets During Eye Movements"

 

Y. Mohsenzadeh, S. Dash,  J. D. Crawford 

(Frontiers in Systems Neuroscience 2016)

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"Gaussian Kernel Width Optimization for Sparse Bayesian Learning"

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"The Relevance Sample-Feature Machine: A Sparse Bayesian Learning Approach to Joint Feature-Sample Selection"

 Y. Mohsenzadeh, H. Sheikhzadeh, Ali M. Reza, N. Bathaiee, M., M. Kalayeh 

(IEEE Trans. On Cybernetics 2014)

CONFERENCE PAPERS

"Emergence of topographical correspondences between deep neural network and human ventral visual cortex"

 Y. Mohsenzadeh, C. Mullin, D. Pantazis, A. Oliva 

Cognitive Computational Neuroscience (CCN 2018)

"Temporal dynamics underlying sound discrimination in the human brain"

 

MX Lowe, S. Teng S, Y. Mohsenzadeh, I. Charest, D. Pantazis, A. Oliva 

Cognitive Computational Neuroscience (CCN 2018)

"Unconscious Perception of Scenes Reveals a Perceptual Neural Signature of Memorability”

 

Y. Mohsenzadeh, A. Oliva, D. Pantazis

Cognitive Computational Neuroscience 

(CCN 2017)

“Adaptive Gaussian Kernel Learning for Sparse Bayesian Classification: An Approach for Silhouette Based Vehicle Classification”

 A. Mirzaiee, Y. Mohsenzadeh, H. Sheikhzadeh, 

 (IEEE MVIP 2015) 


"HistogramShift Steganography: A Technique to Thwart Histogram Based Steganalysis"



Y. Mohsenzadeh, J. Mohajeri and S. Ghaemmaghami 

(IEEE WCSE 2009)

"ReliableSource Transmission Over Relay Networks With Side Information"



M. Sefidgaran, B. Akhbari, Y. Mohsenzadeh, M. R. Aref

(IEEE International Symposisium on Information Theory 2009)

CONFERENCE ABSTRACT

  

 

  • K. Dobs, I. A. Palmer, J. Yuan, Y. Mohsenzadeh, A. Oliva, N. Kanwisher, "Effects of face familiarity in humans and deep neural networks", European Conference on Visual Perception, Leuven, Belgium, August 2019 (Abstract). 


  • Y. Mohsenzadeh, C. Mullin, B. Lahner, A. Oliva, “Neural Dynamics of Category Representations Across Space and Time in the Ventral Visual Cortex ”, Vision Sciences Society, St. Pete Beach, FL, May 2019 (Abstract).


  • K. Ramakrishnan, Y. Mohsenzadeh, M. Monfort, A. Oliva, "A Cognitively-aligned Representational Space for DNNs", Vision Sciences Society, St. Pete Beach, FL, May 2019 (Abstract).


  • M. X. Lowe*, Y. Mohsenzadeh*, B. Lahner, S. Teng, I. Charest, A. Oliva, “Spatiotemporal neural representations in high-level visual cortex evoked from sounds ”, Vision Sciences Society, St. Pete Beach, FL, May 2019 (Abstract).


  • B. Lahner, Y. Mohsenzadeh, C. Mullin, A. Oliva, “Assessing Reproducibility of MEG and fMRI Data Fusion Method in Neural Dynamics of Object Vision”, Vision Sciences Society, St. Pete Beach, FL, May 2019 (Abstract).


  • V. Mehrpour*, Y. Mohsenzadeh*, A. Jaegle*, T. Meyer, A. Oliva, N. Rust, “A Neural Correlate of Image Memorability in Inferotemporal Cortex”, Vision Sciences Society, St. Pete Beach, FL, May 2019 (Abstract). (* indicates equal contributions)


  • Y. Mohsenzadeh, C. Mullin, B. Zhou, D. Pantazis, A. Oliva, “Spatiotemporal dynamics of categorical representations in the human brain and deep convolutional neural networks”, Vision Sciences Society, St. Pete Beach, FL, May 2018 (Abstract).


  • C. Mullin*, Y. Mohsenzadeh*, D. Pantazis, A. Oliva, “The Genesis of Visual Memory through Strong Perceptual Representations: Tracking the Spatio-Temporal Neural Trace of Memorability”, Vision Sciences Society, St. Pete Beach, FL, May 2018 (Abstract, oral presentation).


  • K. Rajaei, Y. Mohsenzadeh, R. Ebrahimpour, S.M. Khaligh-Razavi, “The essential role of recurrent processing during object recognition under occlusion”, Vision Sciences Society, St. Pete Beach, FL, May 2018 (Abstract, oral presentation).


  • Majoumerd EH, Mohsenzadeh Y, Pantazis D. Resolving feedforward and feedback neural processing in object recognition across categorical divisions, 21st International Symposium on Biomagnetism, Philadelphia, Pennsylvania, (2018); Aug 26-30.


  • Y. Mohsenzadeh, C. Mullin, D. Pantazis, A. Oliva, " Tracking the spatio-temporal neural trace of visual memorability", ” Society for Neuroscience (SfN 2017), Washington DC, USA, Nov. 2017 (Abstract).


  • C. Mullin, Y. Mohsenzadeh, D. Pantazis, A. Oliva, " The Birth of a Strong Representation: Tracking the Spatio-Temporal Neural Trace of Visual Images ", 40th European Conference on Visual Perception ECVP 2017, August 2017,Berlin, Germany (Abstract).


  • Y. Mohsenzadeh, R. M. Cichy, A. Oliva, D. Pantazis, " Similarity-based fusion of MEG and fMRI discerns early feedforward and feedback processing in the ventral stream ", (MODVIS 2017), St. St. Petersburg Beach, FL, USA, May 2017 (Abstract).


  • Y. Mohsenzadeh, A. Oliva, D. Pantazis, "Unconscious perception of visual stimuli reveals an early neural signature of memorability", Vision Sciences Society, St. Pete Beach, FL, May 2017.(Abstract)


  • Y. Mohsenzadeh, K. Michmizos, D. Metaxas, D. Pantazis, "Mental fatigue in a prolonged multiple object tracking task", Society for Neuroscience, San Diego, California, November 2016 (Abstract)


  • D. Pantazis, S. Qin, Y. Mohsenzadeh, Q. Li, R M. Cichy," Neural representations in a rapid serial visual presentation task at 17ms per picture ", Society for Neuroscience, San Diego, California, November 2106 (Abstract).  


  • Y Mohsenzadeh, K Michmizos, D Metaxas, D Pantazis, "Neural and pupil diameter effects of mental fatigue", 20th International Conference on Biomagnetism, Seoul, South Korea, October 1-6, 2016 (Abstract).


  • J Chen, Y Mohsenzadeh, J Li, Q Li, RM Cichy, D Pantazis, " Temporal dynamics of face identity and eye gaze recognition revealed by pattern analysis of MEG signals", 20th International Conference on Biomagnetism, Seoul, South Korea, October 1-6, 2016 (Abstract).


  • S Qin, M Fang, Y Mohsenzadeh, Q Li, RM Cichy, D Pantazis," Evoked and induced responses to oriented contrast edges share a common representational structure", 20th International Conference on Biomagnetism, Seoul, South Korea, October 1-6, 2016 (Abstract).


  • Y. Mohsenzadeh, J. D. Crawford, "A recurrent convolutional neural network model for visual feature integration in memory and across saccades", Vision Sciences Society, St. Pete Beach, FL, May 2016 (Abstract).


  • Y. Mohsenzadeh, J. D. Crawford, "A computational model for feature integration across saccadic eye movements ", Society for Neuroscience, Chicago, USA, Oct. 2015 (Abstract).


  • Y. Mohsenzadeh, J. D. Crawford, "A Computational Model to Study the Dynamics of Updating of Remembered Visual Targets During Rapid and Slow Eye Movements", Journal of Vision, Vol.15, 217,September 2015 (Abstract).


  • Y. Mohsenzadeh, J. D. Crawford, “A computational model for Visual Stability across eye movements,” Center for Vision Research International Conference on Perceptual Organization (CVR 2015), Toronto, ON, Canada, June, 2015 (Abstract).


  • Y. Mohsenzadeh, J. D. Crawford, “A computational model for spatial updating of remembered visual stimuli across eye movements,” Canadian Association for Neuroscience (CAN 2015), Vancouver, BC, Canada, May, 2015 (Abstract).


  • Y. Mohsenzadeh, J. D. Crawford, “A State Space Model for Trans-saccadic Remapping of Remembered Visual Targets,” Society for Neuroscience (SfN 2014), Washington DC, USA, Nov. 2014 (Abstract).