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EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks

Feb 17, 2021
Ozan Ozdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akcakaya

* Accepted for publication at Biomedical Signal Processing and Control 

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On the use of generative deep neural networks to synthesize artificial multichannel EEG signals

Feb 16, 2021
Ozan Ozdenizci, Deniz Erdogmus

* 10th International IEEE EMBS Conference on Neural Engineering (NER'21) 

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NetCut: Real-Time DNN Inference Using Layer Removal

Jan 13, 2021
Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner


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Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand

Jan 13, 2021
Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner

* CyPhy 2019, WESE 2019. Lecture Notes in Computer Science, vol 11971. Springer, Cham 

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Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders

Sep 28, 2020
Mo Han, Ozan Ozdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus

* 8 pages 

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Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction

Aug 26, 2020
Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* IEEE Signal Processing Letters, 2020 
* Accepted for publication by IEEE Signal Processing Letters 

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Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry

Jul 30, 2020
Aziz Kocanaogullari, Murat Akcakaya, Deniz Erdogmus


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AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis

Jul 02, 2020
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus

* 18 pages, 6 figures 

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Disentangled Adversarial Transfer Learning for Physiological Biosignals

Apr 15, 2020
Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020) 

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Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using $α$-Divergence

Apr 07, 2020
Yeganeh M. Marghi, Aziz Kocanaogullari, Murat Akcakaya, Deniz Erdogmus

* 13 pages, 10 figures, 1 table 

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Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects

Jul 22, 2019
Ozan Ozdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus

* 8th Graz Brain-Computer Interface Conference 2019 

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Information Theoretic Feature Transformation Learning for Brain Interfaces

Apr 05, 2019
Ozan Ozdenizci, Deniz Erdogmus

* IEEE Transactions on Biomedical Engineering, 2019 
* Accepted for publication by IEEE Transactions on Biomedical Engineering 

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Adversarial Deep Learning in EEG Biometrics

Mar 27, 2019
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* IEEE Signal Processing Letters, 2019 
* Accepted for publication by IEEE Signal Processing Letters 

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Accelerated Experimental Design for Pairwise Comparisons

Jan 18, 2019
Yuan Guo, Jennifer Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis


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Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders

Dec 17, 2018
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* 9th International IEEE EMBS Conference on Neural Engineering (NER'19) 

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Structured Adversarial Attack: Towards General Implementation and Better Interpretability

Oct 04, 2018
Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin


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Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template Rigid Registration

Aug 18, 2018
Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour

* This work has been submitted to TMI 

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Asymmetric Similarity Loss Function to Balance Precision and Recall in Highly Unbalanced Deep Medical Image Segmentation

Jun 29, 2018
Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour

* This work is submitted to IEEE Transactions on Image Processing 

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Invariant Representations from Adversarially Censored Autoencoders

May 21, 2018
Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* 9 pages, 5 figures 

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Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning

Oct 25, 2017
Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour

* This work has been submitted to ISBI 2018 

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Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging

Jun 19, 2017
Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour

* This manuscripts has been submitted to TMI 

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Tversky loss function for image segmentation using 3D fully convolutional deep networks

Jun 18, 2017
Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour


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Asymptotic Analysis of Objectives based on Fisher Information in Active Learning

Oct 14, 2016
Jamshid Sourati, Murat Akcakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy


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Manifold unwrapping using density ridges

Apr 08, 2016
Jonas Nordhaug Myhre, Matineh Shaker, Devrim Kaba, Robert Jenssen, Deniz Erdogmus

* 43 pages, 29 figures, submitted to the Journal of Machine Learning Research 

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