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ORCIDDeniz Erdogmus
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- affiliation: Northeastern University, Boston, USA
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2020 – today
- 2021
[j108]Andac Demir
, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference. IEEE Access 9: 39955-39972 (2021)- [j107]Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya:
EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks. Biomed. Signal Process. Control. 67: 102507 (2021) - [j106]Ozan Özdenizci, Deniz Erdogmus:
Stochastic mutual information gradient estimation for dimensionality reduction networks. Inf. Sci. 570: 298-305 (2021) - [j105]Aziz Koçanaogullari, Niklas Smedemark-Margulies, Murat Akçakaya, Deniz Erdogmus:
Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer. IEEE Signal Process. Lett. 28: 867-871 (2021) - [c183]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Deep Spectral Ranking. AISTATS 2021: 361-369 - [c182]Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner:
NetCut: Real-Time DNN Inference Using Layer Removal. DATE 2021: 1845-1850 - [c181]Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, P. Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy:
Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. ISBI 2021: 353-357 - [c180]Ozan Özdenizci, Deniz Erdogmus:
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. NER 2021: 427-430 - [c179]Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. PETRA 2021: 33-36 - [c178]Veysi Yildiz, Jennifer G. Dy, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Stratis Ioannidis, Deniz Erdogmus:
Structurally Guided Channel Attention Networks: SGCA-Net. PETRA 2021: 93-96 - [i42]Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner:
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand. CoRR abs/2101.05357 (2021) - [i41]Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner:
NetCut: Real-Time DNN Inference Using Layer Removal. CoRR abs/2101.05363 (2021) - [i40]Ozan Özdenizci, Deniz Erdogmus:
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. CoRR abs/2102.08061 (2021) - [i39]Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya:
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks. CoRR abs/2102.08976 (2021) - [i38]Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus:
HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands. CoRR abs/2103.04845 (2021) - [i37]Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus:
From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels. CoRR abs/2103.04863 (2021) - [i36]Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yagmur Günay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner:
Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control. CoRR abs/2104.03893 (2021) - [i35]Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Deniz Erdogmus:
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. CoRR abs/2104.08409 (2021) - [i34]Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus:
Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion. CoRR abs/2104.09627 (2021) - [i33]Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir:
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning. CoRR abs/2104.12842 (2021) - [i32]Ozan Özdenizci, Deniz Erdogmus:
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks. CoRR abs/2105.00191 (2021) - [i31]Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
On the Sample Complexity of Rank Regression from Pairwise Comparisons. CoRR abs/2105.01463 (2021) - [i30]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus:
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. CoRR abs/2106.09135 (2021) - 2020
- [j104]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Learning Invariant Representations From EEG via Adversarial Inference. IEEE Access 8: 27074-27085 (2020) - [j103]Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus:
HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands. Intell. Serv. Robotics 13(1): 179-185 (2020) - [j102]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. IEEE Signal Process. Lett. 27: 1565-1569 (2020) - [j101]Ozan Özdenizci, Deniz Erdogmus:
Information Theoretic Feature Transformation Learning for Brain Interfaces. IEEE Trans. Biomed. Eng. 67(1): 69-78 (2020) - [c177]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Fast and Accurate Ranking Regression. AISTATS 2020: 77-88 - [c176]Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir:
Towards End-to-End Control of a Robot Prosthetic Hand via Reinforcement Learning. BioRob 2020: 641-647 - [c175]Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus:
A generic unfolding algorithm for manifolds estimated by local linear approximations. CVPR Workshops 2020: 3735-3743 - [c174]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC 2020: 422-425 - [c173]Spencer Lake Jacobs-Skolik, Don Liang, Dana H. Brooks, Deniz Erdogmus, Mathew Yarossi, Eugene Tunik:
A Muscle Synergy Framework for Cross-Limb Reconstruction of Hand Muscle Activity Distal to a Virtual Wrist-Level Disarticulation. EMBC 2020: 3285-3288 - [c172]Ann Marie Votta, Sezen Yagmur Günay, Brian Zylich, Erik H. Skorina, Raagini Rameshwar, Deniz Erdogmus, Cagdas D. Onal:
Kinematic Optimization of an Underactuated Anthropomorphic Prosthetic Hand. IROS 2020: 3397-3403 - [c171]Aziz Koçanaogullari, Murat Akçakaya, Barry Oken, Deniz Erdogmus:
Optimal modality selection using information transfer rate for event related potential driven brain computer interfaces. PETRA 2020: 2:1-2:7 - [c170]Tales Imbiriba, Diana Catalina Cumpanasoiu, James Heathers, Stratis Ioannidis, Deniz Erdogmus, Matthew S. Goodwin:
Biosensor prediction of aggression in youth with autism using kernel-based methods. PETRA 2020: 13:1-13:6 - [c169]Razieh Faghihpirayesh, Tales Imbiriba, Mathew Yarossi, Eugene Tunik, Dana H. Brooks, Deniz Erdogmus:
Motor cortex mapping using active gaussian processes. PETRA 2020: 14:1-14:7 - [c168]Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus:
Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach. PETRA 2020: 15:1-15:6 - [c167]Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus:
Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI. PETRA 2020: 87:1-87:2 - [c166]Tales Imbiriba, Peng Wu, Gerald LaMountain, Deniz Erdogmus, Pau Closas:
Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. PLANS 2020: 933-940 - [i29]Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus:
Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach. CoRR abs/2002.06250 (2020) - [i28]Yeganeh M. Marghi, Aziz Kocanaogullari, Murat Akçakaya, Deniz Erdogmus:
Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using α-Divergence. CoRR abs/2004.03139 (2020) - [i27]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR abs/2004.08289 (2020) - [i26]Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus:
Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI. CoRR abs/2004.14580 (2020) - [i25]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis. CoRR abs/2007.01255 (2020) - [i24]Aziz Kocanaogullari, Murat Akçakaya, Deniz Erdogmus:
Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry. CoRR abs/2007.15568 (2020) - [i23]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. CoRR abs/2008.11426 (2020) - [i22]Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. CoRR abs/2009.13453 (2020)
2010 – 2019
- 2019
- [j100]Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection. IEEE Access 7: 1721-1735 (2019) - [j99]Ilkay Yildiz, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, James M. Brown, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Classification and comparison via neural networks. Neural Networks 118: 65-80 (2019) - [j98]Yijian Xiang, Murat Akçakaya, Satyabrata Sen, Deniz Erdogmus, Arye Nehorai:
Target tracking via recursive Bayesian state estimation in cognitive radar networks. Signal Process. 155: 157-169 (2019) - [j97]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. IEEE Signal Process. Lett. 26(5): 710-714 (2019) - [j96]Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour:
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. IEEE Trans. Medical Imaging 38(2): 470-481 (2019) - [c165]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Variational Inference from Ranked Samples with Features. ACML 2019: 599-614 - [c164]Tales Imbiriba, Gerald LaMountain, Peng Wu, Deniz Erdogmus, Pau Closas:
Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs. CAMSAP 2019: 530-534 - [c163]Ann Marie Votta, Sezen Yagmur Günay, Deniz Erdogmus, Çagdas D. Önal:
Force-Sensitive Prosthetic Hand with 3-axis Magnetic Force Sensors. CBS 2019: 104-109 - [c162]Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner:
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand. CyPhy/WESE 2019: 44-58 - [c161]Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus:
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. GBCIC 2019 - [c160]Yeganeh M. Marghi, Aziz Koçanaogullari, Murat Akçakaya, Deniz Erdogmus:
A History-based Stopping Criterion in Recursive Bayesian State Estimation. ICASSP 2019: 3362-3366 - [c159]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. ICLR (Poster) 2019 - [c158]Mohammadreza Sharif, Deniz Erdogmus, Taskin Padir:
Human-in-the-Loop Prosthetic Robot Hand Control Using Particle Filters for Grasp Selection. IRC 2019: 293-300 - [c157]Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
A Severity Score for Retinopathy of Prematurity. KDD 2019: 1809-1819 - [c156]Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller:
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Medical Imaging: Computer-Aided Diagnosis 2019: 109501R - [c155]Andac Demir, Safaa Eldeeb, Murat Akçakaya, Deniz Erdogmus:
Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments. MLSP 2019: 1-6 - [c154]Safaa Eldeeb, Jordyn Ting, Deniz Erdogmus, Douglas J. Weber, Murat Akçakaya:
EEG-Based Texture Classification During Active Touch. MLSP 2019: 1-6 - [c153]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER 2019: 207-210 - [c152]Sezen Yagmur Günay, Mathew Yarossi, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus:
Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture. NER 2019: 1097-1100 - [c151]Andac Demir, Mathew Yarossi, Damon Hyde, Mouhsin Shafi, Dana H. Brooks, Deniz Erdogmus:
Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit. NER 2019: 1109-1112 - [c150]Mathew Yarossi, Fernando Quivira, Moritz Dannhauer, Marc A. Sommer, Dana H. Brooks, Deniz Erdogmus, Eugene Tunik:
An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex. NER 2019: 1122-1125 - [c149]Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus:
From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels. PETRA 2019: 256-263 - [c148]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. SDM 2019: 432-440 - [i21]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. CoRR abs/1901.06080 (2019) - [i20]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. CoRR abs/1903.11673 (2019) - [i19]Ozan Özdenizci, Deniz Erdogmus:
Information Theoretic Feature Transformation Learning for Brain Interfaces. CoRR abs/1903.12235 (2019) - [i18]Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus:
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. CoRR abs/1907.09540 (2019) - [i17]Matt Higger, Fernando Quivira, Deniz Erdogmus:
User-Adaptive Text Entry for Augmentative and Alternative Communication. CoRR abs/1910.01216 (2019) - 2018
- [j95]Marzieh Haghighi, Mohammad Moghadamfalahi, Murat Akçakaya, Deniz Erdogmus:
EEG-assisted modulation of sound sources in the auditory scene. Biomed. Signal Process. Control. 39: 263-270 (2018) - [j94]Berkan Kadioglu, Ilkay Yildiz, Pau Closas, Deniz Erdogmus:
M-Estimation-Based Subspace Learning for Brain Computer Interfaces. IEEE J. Sel. Top. Signal Process. 12(6): 1276-1285 (2018) - [j93]Jamshid Sourati, Murat Akçakaya, Deniz Erdogmus, Todd K. Leen, Jennifer G. Dy:
A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 2023-2029 (2018) - [j92]Aziz Kocanaogullari, Deniz Erdogmus, Murat Akçakaya:
On Analysis of Active Querying for Recursive State Estimation. IEEE Signal Process. Lett. 25(6): 743-747 (2018) - [j91]Aziz Kocanaogullari, Yeganeh M. Marghi, Murat Akçakaya, Deniz Erdogmus:
Optimal Query Selection Using Multi-Armed Bandits. IEEE Signal Process. Lett. 25(12): 1870-1874 (2018) - [j90]A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski:
Dirichlet Priors for MAP Inference of Protein Conformation Abundances from SAXS. J. Signal Process. Syst. 90(2): 167-174 (2018) - [c147]Fernando Quivira, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Translating sEMG signals to continuous hand poses using recurrent neural networks. BHI 2018: 166-169 - [c146]Yeganeh M. Marghi, Paula Gonzalez-Navarro, Bahar Azari, Deniz Erdogmus:
A Parametric EEG Signal Model for BCIs with Rapid-Trial Sequences. EMBC 2018: 118-122 - [c145]Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. EMBC 2018: 1964-1967 - [c144]Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin:
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. EMBC 2018: 5745-5748 - [c143]Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis:
Experimental Design under the Bradley-Terry Model. IJCAI 2018: 2198-2204 - [c142]Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour:
Real-time automatic fetal brain extraction in fetal MRI by deep learning. ISBI 2018: 720-724 - [c141]Aziz Kocanaogullan, Fernando Quivira, Deniz Erdogmus:
Incorporating temporal dependency on ERP based BCI. ISBI 2018: 752-756 - [c140]James McLean, Fernando Quivira, Deniz Erdogmus:
Improved classification in tactile BCIs using a noisy label model. ISBI 2018: 757-761 - [c139]Matthew S. Goodwin, Ozan Özdenizci, Catalina Cumpanasoiu, Peng Tian, Yuan Guo, Amy Stedman, Christine Peura, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis:
Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals. PervasiveHealth 2018: 201-207 - [c138]Golnaz Eftekhari Yazdi, Hooman Nezamfar, Mohammad Moghadamfalahi, Murat Akçakaya, Bahram Shafai, Deniz Erdogmus:
An Adaptive Proportional BCI-Controller for Linear Dynamic Systems. WAC 2018: 1-5 - [i16]Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour:
Real-time Deep Registration With Geodesic Loss. CoRR abs/1803.05982 (2018) - [i15]Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. CoRR abs/1803.11078 (2018) - [i14]Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Invariant Representations from Adversarially Censored Autoencoders. CoRR abs/1805.08097 (2018) - [i13]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. CoRR abs/1808.01664 (2018) - [i12]Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. CoRR abs/1809.05635 (2018) - [i11]Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin:
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. CoRR abs/1809.09948 (2018) - [i10]Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown:
Deep feature transfer between localization and segmentation tasks. CoRR abs/1811.02539 (2018) - [i9]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. CoRR abs/1812.06857 (2018) - 2017
- [j89]Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy:
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning. J. Mach. Learn. Res. 18: 34:1-34:41 (2017) - [j88]Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix:
Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data. Medical Image Anal. 37: 56-65 (2017) - [j87]Paula Gonzalez-Navarro, Mohammad Moghadamfalahi, Murat Akçakaya, Deniz Erdogmus:
Spatio-temporal EEG models for brain interfaces. Signal Process. 131: 333-343 (2017) - [j86]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 36(11): 2319-2330 (2017) - [j85]Mohammad Moghadamfalahi, Murat Akçakaya, Hooman Nezamfar, Jamshid Sourati, Deniz Erdogmus:
An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling. IEEE Trans. Signal Process. 65(20): 5381-5392 (2017) - [c137]Yijian Xiang, Murat Akçakaya, Satyabrata Sen, Deniz Erdogmus, Arye Nehorai:
Target tracking via recursive Bayesian state estimation in radar networks. ACSSC 2017: 880-884 - [c136]Yeganeh M. Marghi, Amir B. Farjadian, Sheng-Che Yen, Deniz Erdogmus:
EEG-guided robotic mirror therapy system for lower limb rehabilitation. EMBC 2017: 1917-1921 - [c135]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus:
Decoding complex imagery hand gestures. EMBC 2017: 2968-2971 - [c134]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus:
Context-aware recursive bayesian graph traversal in BCIs. EMBC 2017: 2972-2975 - [c133]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. MLMI@MICCAI 2017: 379-387 - [c132]Ozan Özdenizci, Fernando Quivira, Deniz Erdogmus:
Information theoretic feature projection for single-trial brain-computer interfaces. MLSP 2017: 1-6 - [c131]Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Muscle Synergy-based Grasp Classification for Robotic Hand Prosthetics. PETRA 2017: 335-338 - [i8]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging. CoRR abs/1703.02083 (2017) - [i7]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus:
Decoding Complex Imagery Hand Gestures. CoRR abs/1703.02929 (2017) - [i6]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus:
Context-Aware Recursive Bayesian Graph Traversal in BCIs. CoRR abs/1703.02938 (2017) - [i5]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Tversky loss function for image segmentation using 3D fully convolutional deep networks. CoRR abs/1706.05721 (2017) - [i4]Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour:
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning. CoRR abs/1710.09338 (2017) - 2016
- [j84]Jamshid Sourati, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus:
Classification Active Learning Based on Mutual Information. Entropy 18(2): 51 (2016) - [j83]