Baris Turkbey
Orcid: 0000-0003-0853-6494
According to our database1,
Baris Turkbey
authored at least 85 papers
between 2009 and 2024.
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Bibliography
2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Mach. Vis. Appl., July, 2023
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
2022
IEEE Trans. Medical Imaging, 2022
Polar transform network for prostate ultrasound segmentation with uncertainty estimation.
Medical Image Anal., 2022
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal., 2022
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022
Camera-based distance detection and contact tracing to monitor potential spread of COVID-19.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE J. Biomed. Health Informatics, 2021
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.
Medical Image Anal., 2021
Federated learning improves site performance in multicenter deep learning without data sharing.
J. Am. Medical Informatics Assoc., 2021
Frontiers Artif. Intell., 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation.
CoRR, 2021
IEEE Access, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.
IEEE Trans. Medical Imaging, 2020
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound.
Int. J. Comput. Assist. Radiol. Surg., 2020
Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning.
Medical Image Anal., 2019
CoRR, 2019
Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies.
Int. J. Comput. Assist. Radiol. Surg., 2019
Smartglasses/smartphone needle guidance AR system for transperineal prostate procedure.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
2018
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound.
IEEE Trans. Medical Imaging, 2018
MRI-Guided Robotically Assisted Focal Laser Ablation of the Prostate Using Canine Cadavers.
IEEE Trans. Biomed. Eng., 2018
J. Imaging, 2018
Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect.
Complex., 2018
Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer.
Comput. Biol. Medicine, 2018
Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.
Int. J. Comput. Assist. Radiol. Surg., 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection.
Int. J. Comput. Assist. Radiol. Surg., 2017
Automatic MR prostate segmentation by deep learning with holistically-nested networks.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Representing 3D shapes based on implicit surface functions learned from RBF neural networks.
J. Vis. Commun. Image Represent., 2016
Int. J. Comput. Assist. Radiol. Surg., 2016
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2016
Active appearance model and deep learning for more accurate prostate segmentation on MRI.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
An MRI guided system for prostate laser ablation with treatment planning and multi-planar temperature monitoring.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2015
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
IEEE Trans. Biomed. Eng., 2013
Global structure constrained local shape prior estimation for medical image segmentation.
Comput. Vis. Image Underst., 2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Fully automated 3D prostate central gland segmentation in MR images: a LOGISMOS based approach.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Normalized gradient fields cross-correlation for automated detection of prostate in magnetic resonance images.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
An elastic registration framework to estimate prostate deformation in endorectal MR scans.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
IEEE Trans. Biomed. Eng., 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation.
IEEE Trans. Biomed. Eng., 2010
Proceedings of the Medical Imaging 2010: Visualization, 2010
Multi-parametric MRI-pathologic correlation of prostate cancer using tracked biopsies.
Proceedings of the Medical Imaging 2010: Visualization, 2010
Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010
2009
Optimal search guided by partial active shape model for prostate segmentation in TRUS images.
Proceedings of the Medical Imaging 2009: Visualization, 2009