Baris Turkbey

发表

Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy

Purang Abolmaesumi, Shekoofeh Azizi, Farhad Imani, 2016, MICCAI.

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images

Ronald M. Summers, Jin Tae Kwak, Baris Turkbey, 2017, Medical Imaging.

Atlas based AAM and SVM model for fully automatic MRI prostate segmentation

Baris Turkbey, Peter L. Choyke, Shijun Wang, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement

Baris Turkbey, Peter L. Choyke, Yin Yin, 2012, Medical Imaging.

Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks

Nathan Lay, Baris Turkbey, Le Lu, 2017, Journal of medical imaging.

Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images

Ronald M. Summers, Baris Turkbey, Peter L. Choyke, 2012, MICCAI.

Augmenting MRI–transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study

Purang Abolmaesumi, Farhad Imani, Jin Tae Kwak, 2015, International Journal of Computer Assisted Radiology and Surgery.

Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect

Bo Du, Pingkun Yan, Baris Turkbey, 2018, Complex..

Segmenting Images by Combining Selected Atlases on Manifold

Xuelong Li, Pingkun Yan, Baris Turkbey, 2011, MICCAI.

Segmenting TRUS video sequences using local shape statistics

Sheng Xu, Pingkun Yan, Jochen Kruecker, 2010, Medical Imaging.

Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks

Nathan Lay, Baris Turkbey, Ronald M Summers, 2018, Journal of medical imaging.

Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2019, International Journal of Computer Assisted Radiology and Surgery.

Multi-parametric MRI-pathologic correlation of prostate cancer using tracked biopsies

Sheng Xu, Pingkun Yan, Jochen Kruecker, 2010, Medical Imaging.

Global structure constrained local shape prior estimation for medical image segmentation

Xuelong Li, Pingkun Yan, Baris Turkbey, 2013, Comput. Vis. Image Underst..

Prostate Segmentation in MR Images Using Discriminant Boundary Features

Xuelong Li, Pingkun Yan, Baris Turkbey, 2013, IEEE Transactions on Biomedical Engineering.

Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2018, IEEE Transactions on Medical Imaging.

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI

Ronald M. Summers, Nathan Lay, Jin Tae Kwak, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Deeply-supervised CNN for prostate segmentation

Bo Du, Pingkun Yan, Baris Turkbey, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging

Jin Tae Kwak, Sheng Xu, Baris Turkbey, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Fully automated 3D prostate central gland segmentation in MR images: a LOGISMOS based approach

Baris Turkbey, Peter L. Choyke, Yin Yin, 2012, Medical Imaging.

Representing 3D shapes based on implicit surface functions learned from RBF neural networks

Li Ren, Xiaolong Wang, Baris Turkbey, 2016, J. Vis. Commun. Image Represent..

An MRI guided system for prostate laser ablation with treatment planning and multi-planar temperature monitoring

Sheng Xu, Baris Turkbey, Peter L. Choyke, 2016, SPIE Medical Imaging.

Label Image Constrained Multiatlas Selection

Pingkun Yan, Baris Turkbey, Peter L. Choyke, 2015, IEEE Transactions on Cybernetics.

Adaptively Learning Local Shape Statistics for Prostate Segmentation in Ultrasound

Sheng Xu, Pingkun Yan, Jochen Kruecker, 2011, IEEE Transactions on Biomedical Engineering.

Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer

Baris Turkbey, Bradford J. Wood, Alexis Cheng, 2019, Medical Imaging.

Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks system (Erratum)

Ronald M. Summers, Nathan Lay, Baris Turkbey, 2019, Journal of medical imaging.

MRI Robot for Prostate Focal Laser Ablation: An Ex Vivo Study in Human Prostate

Sheng Xu, Baris Turkbey, Peter L. Choyke, 2018, J. Imaging.

Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI

Ronald M. Summers, Nathan Lay, Baris Turkbey, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Detection of prostate cancer in multiparametric MRI using random forest with instance weighting

Nathan Lay, Jin Tae Kwak, Baris Turkbey, 2017, Journal of medical imaging.

Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections

Nathan Lay, Baris Turkbey, Ruida Cheng, 2019, Journal of medical imaging.

A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging

Amir M. Tahmasebi, Jochen Kruecker, Baris Turkbey, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Correlation of magnetic resonance imaging with digital histopathology in prostate

María Merino, Jin Tae Kwak, Sheng Xu, 2016, International Journal of Computer Assisted Radiology and Surgery.

Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2017, International Journal of Computer Assisted Radiology and Surgery.

An elastic registration framework to estimate prostate deformation in endorectal MR scans

Tobias Klinder, Jochen Kruecker, Baris Turkbey, 2012, Medical Imaging.

Normalized gradient fields cross-correlation for automated detection of prostate in magnetic resonance images

Baris Turkbey, Peter L. Choyke, Yin Yin, 2012, Medical Imaging.

A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy

Baris Turkbey, Peter L. Choyke, Peter A. Pinto, 2018, OR 2.0/CARE/CLIP/ISIC@MICCAI.

Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer

Baris Turkbey, Peter L. Choyke, Charles B. Simone, 2018, Comput. Biol. Medicine.

2D registration guided models for semi-automatic MRI prostate segmentation

Baris Turkbey, Peter L. Choyke, Justin Senseney, 2013, Medical Imaging.

Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging

Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, 2018, International Journal of Computer Assisted Radiology and Surgery.

Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy

Ming Li, Purang Abolmaesumi, Shekoofeh Azizi, 2018, International Journal of Computer Assisted Radiology and Surgery.

Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2018, MICCAI.

Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation pdf

Xinjian Chen, Ulas Bagci, Baris Turkbey, 2016, MCV/BAMBI@MICCAI.

Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy

Purang Abolmaesumi, Farhad Imani, Jin Tae Kwak, 2014, CLIP@MICCAI.

Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer

Ronald M. Summers, Berkman Sahiner, Baris Turkbey, 2015, Medical Imaging.

Automatic MR prostate segmentation by deep learning with holistically-nested networks

Ronald M. Summers, Nathan Lay, Baris Turkbey, 2017, Medical Imaging.

Smartglasses/smartphone needle guidance AR system for transperineal prostate procedures

Sheng Xu, Baris Turkbey, Bradford J. Wood, 2019, Medical Imaging.

A multiview boosting approach to tissue segmentation

Jin Tae Kwak, Sheng Xu, Baris Turkbey, 2014, Medical Imaging.

A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels

Ronald M. Summers, Baris Turkbey, Peter L. Choyke, 2013, Medical Imaging.

Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis

Baris Turkbey, Peter L. Choyke, Justin Senseney, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation

Sheng Xu, Pingkun Yan, Jochen Kruecker, 2010, IEEE Transactions on Biomedical Engineering.

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI

Ronald M. Summers, Nathan Lay, Adrian Barbu, 2018, MICCAI.

Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study

Purang Abolmaesumi, Shekoofeh Azizi, Farhad Imani, 2016, International Journal of Computer Assisted Radiology and Surgery.

Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest

Ronald M. Summers, Nathan Lay, Baris Turkbey, 2016, SPIE Medical Imaging.

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation pdf

Dong Yang, Thomas Sanford, Daguang Xu, 2019, ArXiv.

Optimal search guided by partial active shape model for prostate segmentation in TRUS images

Sheng Xu, Pingkun Yan, Jochen Kruecker, 2009, Medical Imaging.

A collaborative computer aided diagnosis (C‐CAD) system with eye‐tracking, sparse attentional model, and deep learning☆

Ulas Bagci, Baris Turkbey, Bradford J. Wood, 2018, Medical Image Anal..

Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates

Sheng Xu, Pingkun Yan, Jochen Kruecker, 2010, Prostate Cancer Imaging.

Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate

María Merino, Baris Turkbey, Peter A. Pinto, 2016, MICCAI.

Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks

Purang Abolmaesumi, Shekoofeh Azizi, Farhad Imani, 2015, MICCAI.

No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients

Nathan Lay, Ulas Bagci, Baris Turkbey, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Federated learning improves site performance in multicenter deep learning without data sharing

Daguang Xu, Baris Turkbey, Jesse Tetreault, 2021, J. Am. Medical Informatics Assoc..

Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans

Nathan Lay, Ulas Bagci, Baris Turkbey, 2021, IEEE Access.

AI-Assisted CT as a Clinical and Research Tool for COVID-19

Baris Turkbey, Bradford J. Wood, Tristan Barrett, 2021, Frontiers in Artificial Intelligence.

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation pdf

Daguang Xu, Baris Turkbey, Holger Roth, 2021, ArXiv.

Cross-modal Attention for MRI and Ultrasound Volume Registration

Baris Turkbey, Bradford J. Wood, Pingkun Yan, 2021, MICCAI.

Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research

Ulas Bagci, Baris Turkbey, Samira Masoudi, 2021, Journal of medical imaging.

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis

Concetto Spampinato, Ulas Bagci, Baris Turkbey, 2021, MLMI@MICCAI.

Multiparametric 3T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance imaging based molds.

Baris Turkbey, Marcelino Bernardo, Yuxi Pang, 2011, The Journal of urology.

Abstract No. 62: TRUS/MRI fusion-targeted prostate biopsy results correlate with MRI suspicion level

Baris Turkbey, Peter L. Choyke, Peter A. Pinto, 2010 .

Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging.

Baris Turkbey, Sandeep Sankineni, Soroush Rais-Bahrami, 2015, Radiology.

Is apparent diffusion coefficient associated with clinical risk scores for prostate cancers that are visible on 3-T MR images?

Baris Turkbey, Marcelino Bernardo, Yuxi Pang, 2011, Radiology.

Prostate Cancer: A Correlative Study of Multiparametric MR Imaging and Digital Histopathology.

Jin Tae Kwak, Baris Turkbey, Sandeep Sankineni, 2017, Radiology.

Quantitative Image Quality Comparison of Reduced- and Standard-Dose Dual-Energy Multiphase Chest, Abdomen, and Pelvis CT

Ulas Bagci, Baris Turkbey, Daniel J. Mollura, 2017, Tomography.

Prospective Evaluation of PI‐RADS™ Version 2 Using the International Society of Urological Pathology Prostate Cancer Grade Group System

Baris Turkbey, Peter L. Choyke, Bradford J. Wood, 2017, The Journal of urology.

Magnetic resonance imaging/ultrasound fusion guided prostate biopsy improves cancer detection following transrectal ultrasound biopsy and correlates with multiparametric magnetic resonance imaging.

Pingkun Yan, Baris Turkbey, Peter L. Choyke, 2011, The Journal of urology.

Prostate cancer laser ablation with MRI or ultrasound guidance

Baris Turkbey, Peter L. Choyke, Peter A. Pinto, 2013 .

DCE MRI of prostate cancer

Baris Turkbey, Peter L. Choyke, Bradford J. Wood, 2016, Abdominal Radiology.

Dendrimer-based MRI contrast agents: the effects of PEGylation on relaxivity and pharmacokinetics.

Baris Turkbey, Marcelino Bernardo, Chie Kojima, 2011, Nanomedicine : nanotechnology, biology, and medicine.

Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study

Ronald M. Summers, Nathan Lay, Baris Turkbey, 2018, European Radiology.

Targeted biopsy: benefits and limitations

Baris Turkbey, Peter A Pinto, Bradford J Wood, 2018, Current opinion in urology.

New horizons in prostate cancer imaging.

Baris Turkbey, Peter L Choyke, Gregory Ravizzini, 2009, European journal of radiology.

Multiparametric magnetic resonance imaging and ultrasound fusion biopsy detect prostate cancer in patients with prior negative transrectal ultrasound biopsies.

Baris Turkbey, Peter A Pinto, Peter L Choyke, 2012, The Journal of urology.

Autosomal recessive polycystic kidney disease and congenital hepatic fibrosis (ARPKD/CHF)

Baris Turkbey, Peter L. Choyke, Iclal Ocak, 2009, Pediatric Radiology.

Low suspicion lesions on multiparametric magnetic resonance imaging predict for the absence of high‐risk prostate cancer

Baris Turkbey, Peter A Pinto, Peter L Choyke, 2012, BJU international.

Comparison of endorectal coil and nonendorectal coil T2W and diffusion‐weighted MRI at 3 Tesla for localizing prostate cancer: Correlation with whole‐mount histopathology

Baris Turkbey, Esther Mena, Marcelino Bernardo, 2014, Journal of magnetic resonance imaging : JMRI.

Magnetic resonance imaging/ultrasound-fusion biopsy significantly upgrades prostate cancer versus systematic 12-core transrectal ultrasound biopsy.

Baris Turkbey, Soroush Rais-Bahrami, Peter A Pinto, 2013, European urology.

Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer.

Baris Turkbey, Soroush Rais-Bahrami, Peter A Pinto, 2015, JAMA.

Very distal apical prostate tumours: identification on multiparametric MRI at 3 Tesla

Baris Turkbey, Bradford Wood, Peter Choyke, 2012, BJU international.

Multiparametric MRI in prostate cancer management

Baris Turkbey, Peter L. Choyke, Linda M. Johnson, 2014, Nature Reviews Clinical Oncology.

Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence.

Baris Turkbey, James L. Gulley, Les R. Folio, 2020, Academic radiology.

Prostate Imaging Reporting and Data System (PI-RADS), Version 2: A Critical Look.

Baris Turkbey, Aytekin Oto, Andrew B Rosenkrantz, 2016, AJR. American journal of roentgenology.

Accelerated T2 mapping for characterization of prostate cancer

Baris Turkbey, Peter L. Choyke, Bradford J. Wood, 2011, Magnetic resonance in medicine.

Decision support system for localizing prostate cancer based on multiparametric magnetic resonance imaging.

Baris Turkbey, Marcelino Bernardo, Yuxi Pang, 2012, Medical physics.

Mesenteric arterial variations detected at MDCT angiography of abdominal aorta.

Baris Turkbey, Yavuz Metin, Ali Devrim Karaosmanoglu, 2009, AJR. American journal of roentgenology.

Overview of dynamic contrast-enhanced MRI in prostate cancer diagnosis and management.

Baris Turkbey, Naira Muradyan, Masoom A Haider, 2012, AJR. American journal of roentgenology.

Comparison of calculated and acquired high b value diffusion-weighted imaging in prostate cancer

Baris Turkbey, Peter L. Choyke, Bradford J. Wood, 2015, Abdominal Imaging.

Interreader Variability of Prostate Imaging Reporting and Data System Version 2 in Detecting and Assessing Prostate Cancer Lesions at Prostate MRI.

Nathan Lay, Baris Turkbey, Tristan Barrett, 2019, AJR. American journal of roentgenology.

Role of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Prostate Cancer

Baris Turkbey, Peter L. Choyke, Soroush Rais-Bahrami, 2014, Current Urology Reports.

Current status of magnetic resonance imaging (MRI) and ultrasonography fusion software platforms for guidance of prostate biopsies

Baris Turkbey, Soroush Rais-Bahrami, Peter A Pinto, 2014, BJU international.

Evaluating Biochemically Recurrent Prostate Cancer: Histologic Validation of 18F-DCFPyL PET/CT with Comparison to Multiparametric MRI.

Baris Turkbey, Esther Mena, Joanna H Shih, 2020, Radiology.

Documenting the location of prostate biopsies with image fusion

Baris Turkbey, Marcelino Bernardo, Yuxi Pang, 2011, BJU international.

New approaches to lymphatic imaging.

Baris Turkbey, Hisataka Kobayashi, Mikako Ogawa, 2009, Lymphatic research and biology.

Intra‐ and interreader reproducibility of PI‐RADSv2: A multireader study

Baris Turkbey, Tristan Barrett, Joanna H Shih, 2019, Journal of magnetic resonance imaging : JMRI.

Active surveillance for prostate cancer: past, present and future

Baris Turkbey, Aradhana Kaushal, Peter A. Pinto, 2012, Current opinion in oncology.

Imaging techniques for prostate cancer: implications for focal therapy

Baris Turkbey, Peter L. Choyke, Peter A. Pinto, 2009, Nature Reviews Urology.

Prostate cancer: can multiparametric MR imaging help identify patients who are candidates for active surveillance?

Baris Turkbey, Marcelino Bernardo, Yuxi Pang, 2013, Radiology.

Use of patient-specific MRI-based prostate mold for validation of multiparametric MRI in localization of prostate cancer.

Baris Turkbey, Peter L. Choyke, Bradford J. Wood, 2012, Urology.

Accuracy and agreement of PIRADSv2 for prostate cancer mpMRI: A multireader study

Baris Turkbey, Sandeep Sankineni, P. Choyke, 2017, Journal of magnetic resonance imaging : JMRI.

Improving detection of clinically significant prostate cancer: magnetic resonance imaging/transrectal ultrasound fusion guided prostate biopsy.

Baris Turkbey, David N Siegel, Louis R Kavoussi, 2014, The Journal of urology.

Clinical implications of a multiparametric magnetic resonance imaging based nomogram applied to prostate cancer active surveillance.

Baris Turkbey, Soroush Rais-Bahrami, Hong Truong, 2015, The Journal of urology.

Multiparametric MRI and prostate cancer diagnosis and risk stratification

Baris Turkbey, Peter L. Choyke, P. Choyke, 2012, Current opinion in urology.

Magnetic Resonance Imaging‐Transrectal Ultrasound Guided Fusion Biopsy to Detect Progression in Patients with Existing Lesions on Active Surveillance for Low and Intermediate Risk Prostate Cancer

Baris Turkbey, Peter A Pinto, Peter L Choyke, 2017, The Journal of urology.

A Magnetic Resonance Imaging–Based Prediction Model for Prostate Biopsy Risk Stratification

Baris Turkbey, Aytekin Oto, Joanna H Shih, 2018, JAMA oncology.

Prospective Evaluation of 18F-DCFPyL PET/CT in Detection of High-Risk Localized Prostate Cancer: Comparison With mpMRI.

Baris Turkbey, Martin G Pomper, Esther Mena, 2020, AJR. American journal of roentgenology.

Recent advances in image-guided targeted prostate biopsy

Baris Turkbey, Peter L. Choyke, Bradford J. Wood, 2015, Abdominal Imaging.

Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel.

Baris Turkbey, Aytekin Oto, Silvia D. Chang, 2020, Radiology.

846 MRI/US FUSION PROSTATE BIOPSIES: CANCER DETECTION RATES

Baris Turkbey, Peter L. Choyke, Bradford J. Wood, 2011 .

Review of Functional / Anatomic Imaging in Oncology

Baris Turkbey, Peter L. Choyke, Esther Mena, 2012 .

Is Visual Registration Equivalent to Semiautomated Registration in Prostate Biopsy?

Jin Tae Kwak, Pingkun Yan, Baris Turkbey, 2015, BioMed research international.

Imaging localized prostate cancer: current approaches and new developments.

Baris Turkbey, Paul S Albert, Peter L Choyke, 2009, AJR. American journal of roentgenology.

The Kinetics and Reproducibility of 18F-Sodium Fluoride for Oncology Using Current PET Camera Technology

Baris Turkbey, Esther Mena, Joanna H Shih, 2012, The Journal of Nuclear Medicine.

"Super-active surveillance": MRI ultrasound fusion biopsy and ablation for less invasive management of prostate cancer.

Baris Turkbey, Peter A Pinto, Ivane Bakhutashvili, 2018, Gland surgery.

Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer

Baris Turkbey, Sandeep Sankineni, P. Choyke, 2016, CA: a cancer journal for clinicians.

Correlation of magnetic resonance imaging tumor volume with histopathology.

Baris Turkbey, Marcelino Bernardo, Peter A Pinto, 2012, The Journal of urology.

Automated prostate cancer detection using T2-weighted and high-b-value diffusion-weighted magnetic resonance imaging.

Jin Tae Kwak, Baris Turkbey, Shijun Wang, 2015, Medical physics.

Review of functional/anatomical imaging in oncology

Baris Turkbey, Peter L. Choyke, Esther Mena, 2012, Nuclear medicine communications.

Hereditary Renal Tumor Syndromes: Update on Diagnosis and Management.

Baris Turkbey, Peter Choyke, Sonia Gaur, 2017, Seminars in ultrasound, CT, and MR.

What Are We Missing? False-Negative Cancers at Multiparametric MR Imaging of the Prostate.

Baris Turkbey, Marcelino Bernardo, Peter A Pinto, 2018, Radiology.

All over the map: An interobserver agreement study of tumor location based on the PI‐RADSv2 sector map

Baris Turkbey, Tristan Barrett, Joanna H Shih, 2018, Journal of magnetic resonance imaging : JMRI.

Imaging of tumor angiogenesis: functional or targeted?

Baris Turkbey, Marcelino Bernardo, Hisataka Kobayashi, 2009, AJR. American journal of roentgenology.

Radiomics and radiogenomics of prostate cancer

Baris Turkbey, Radka Stoyanova, Stephanie Harmon, 2018, Abdominal Radiology.

Prostate Imaging-Reporting and Data System Steering Committee: PI-RADS v2 Status Update and Future Directions.

Baris Turkbey, Andrew B Rosenkrantz, Jeffrey Weinreb, 2019, European urology.

Fully automated prostate segmentation on MRI: comparison with manual segmentation methods and specimen volumes.

Baris Turkbey, Yin Yin, Marcelino Bernardo, 2013, AJR. American journal of roentgenology.

Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI

Baris Turkbey, Lothar Lilge, Yohann Tschudi, 2017, Scientific Reports.

Intravoxel incoherent motion MR imaging for prostate cancer: An evaluation of perfusion fraction and diffusion coefficient derived from different b‐value combinations

Baris Turkbey, Samuel Kadoury, Marcelino Bernardo, 2013, Magnetic resonance in medicine.