Baris Turkbey

114 papers A* 3A 2B 8Journal 58Unranked 43
YearRankTypeTitle / Venue / Authors
2026 J jnl
AdverIN: Monotonic adversarial intensity attack for domain generalization in medical image segmentation.
Medical Image Anal.
Zheyuan Zhang, Bin Wang, Lanhong Yao, Elif Keles, Debesh Jha, Matthew Antalek, Gorkem Durak, Alpay Medetalibeyoglu, Concetto Spampinato, Baris Turkbey, Boqing Gong, Ulas Bagci
2026 A* conf
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss.
AAAI
Can Zhao, Pengfei Guo, Dong Yang, Yufan He, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2026 J jnl
VHU-Net: Variational hadamard U-Net for body MRI bias field correction.
Medical Image Anal.
Xin Zhu, Ahmet Enis Çetin, Gorkem Durak, Batuhan Gündogdu, Ziliang Hong, Hongyi Pan, Ertugrul Aktas, Elif Keles, Hatice Savas, Aytekin Oto, Hiten D. Patel, Adam B. Murphy, Ashley Ross, Frank H. Miller, Baris Turkbey, Ulas Bagci
2025 J jnl
Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts.
Comput. Biol. Medicine
Fahmida Haque, Alex Chen, Nathan Lay, Jorge Carrasquillo, Esther Mena, Liza Lindenberg, Julia E. Segal, Philip Eclarinal, Sara Talvacchio, Alberta Derkyi, Peter L. Choyke, Karel Pacak, Rosandra N. Kaplan, Frank I. Lin, Baris Turkbey, Stephanie A. Harmon
2025 J jnl
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.
Medical Image Anal.
Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci
2025 J jnl
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss.
CoRR
Can Zhao, Pengfei Guo, Dong Yang, Yucheng Tang, Yufan He, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2025 A conf
MAISI: Medical AI for Synthetic Imaging.
WACV
Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2025 J jnl
OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography.
CoRR
Hanchen Wang, Yixuan Wu, Yinan Feng, Peng Jin, Shihang Feng, Yiming Mao, James Wiskin, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Songting Luo, Yinpeng Chen, Emad Boctor, Youzuo Lin
2025 J jnl
Reasoning Visual Language Model for Chest X-Ray Analysis.
CoRR
Andriy Myronenko, Dong Yang, Baris Turkbey, Mariam Aboian, Sena Azamat, Ebru Yaman Akcicek, Hongxu Yin, Pavlo Molchanov, Marc Edgar, Yufan He, Pengfei Guo, Yucheng Tang, Daguang Xu
2025 J jnl
Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Population-Based Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol).
CoRR
Anindo Saha, Joeran S. Bosma, Jasper J. Twilt, Alexander B. C. D. Ng, Aqua Asif, Kirti Magudia, Peder Larson, Qinglin Xie, Xiaodong Zhang, Chi Pham Minh, Samuel N. Gitau, Ivo G. Schoots, Martijn F. Boomsma, Renato Cuocolo, Nikolaos Papanikolaou, Daniele Regge, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Baris Turkbey, Nancy A. Obuchowski, Jurgen J. Fütterer, Anwar R. Padhani, Hashim Uddin Ahmed, Tobias Nordström, Martin Eklund, Veeru Kasivisvanathan, Maarten de Rooij, Henkjan Huisman
2025 J jnl
Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model.
CoRR
Pengfei Guo, Can Zhao, Dong Yang, Yufan He, Vishwesh Nath, Ziyue Xu, Pedro R. A. S. Bassi, Zongwei Zhou, Benjamin Simon, Stephanie Anne Harmon, Baris Turkbey, Daguang Xu
2025 A* conf
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge.
CVPR
Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Stephanie A. Harmon, Benjamin Simon, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu
2025 A* conf
VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging.
CVPR
Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu, Wenqi Li
2024 — conf
A Probabilistic Hadamard U-Net for MRI Bias Field Correction.
MLMI@MICCAI (1)
Xin Zhu, Hongyi Pan, Batuhan Gundogdu, Debesh Jha, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci
2024 J jnl
A Probabilistic Hadamard U-Net for MRI Bias Field Correction.
CoRR
Xin Zhu, Hongyi Pan, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci
2024 — conf
A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images.
AIME (2)
Zhijun Chen, Erolcan Sayar, Haoyue Zhang, Helen Richards, Lucas Liu, Baris Turkbey, Michael Haffner, Stephanie A. Harmon
2024 — conf
Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT.
AIME (2)
Sophia Ty, Fahmida Haque, Parth Desai, Nobuyuki Takahashi, Usamah Chaudhary, Benjamin Simon, Peter L. Choyke, Anish Thomas, Baris Turkbey, Stephanie A. Harmon
2024 — conf
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.
EMBC
Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci
2024 J jnl
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.
CoRR
Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci
2024 A conf
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification.
WACV
Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci
2024 J jnl
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning.
CoRR
Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci
2024 — conf
Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection.
ISBI
Alex Chen, Nathan Lay, Stephanie A. Harmon, Kutsev Ozyoruk, Enis Yilmaz, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey
2024 J jnl
Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection.
CoRR
Alex Chen, Nathan Lay, Stephanie A. Harmon, Kutsev Ozyoruk, Enis Yilmaz, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey
2024 J jnl
MAISI: Medical AI for Synthetic Imaging.
CoRR
Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2024 J jnl
Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging.
CoRR
Pouria Yazdian Anari, Fiona Obiezu, Nathan Lay, Fatemeh Dehghani Firouzabadi, Aditi Chaurasia, Mahshid Golagha, Shiva Singh, Fatemeh Homayounieh, Aryan Zahergivar, Stephanie A. Harmon, Evrim Turkbey, Rabindra Gautam, Kevin C. Ma, María Merino, Elizabeth C. Jones, Mark W. Ball, W. Marston Linehan, Baris Turkbey, Ashkan A. Malayeri
2024 J jnl
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge.
CoRR
Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu
2024 J jnl
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography.
CoRR
Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu, Wenqi Li
2023 B conf
Distance map supervised landmark localization for MR-TRUS registration.
Image Processing
Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Thomas Sanford, Bradford J. Wood, Pingkun Yan
2023 J jnl
GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification.
CoRR
Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci
2023 J jnl
Shape description losses for medical image segmentation.
Mach. Vis. Appl.
Xi Fang, Xuanang Xu, James J. Xia, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan
2022 — conf
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.
ECCV (21)
Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
2022 J jnl
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.
CoRR
Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
2022 — conf
Camera-based distance detection and contact tracing to monitor potential spread of COVID-19.
Image Perception, Observer Performance, and Technology Assessment
Ming Li, Nicole Varble, Baris Turkbey, Sheng Xu, Bradford J. Wood
2022 J jnl
Cross-modal attention for multi-modal image registration.
Medical Image Anal.
Xinrui Song, Hanqing Chao, Xuanang Xu, Hengtao Guo, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Ge Wang, Pingkun Yan
2022 — conf
Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Kevin C. Ma, Michael V. Green, Elaine M. Jagoda, Jürgen Seidel, Peter L. Choyke, Baris Turkbey, Stephanie A. Harmon
2022 J jnl
Distance Map Supervised Landmark Localization for MR-TRUS Registration.
CoRR
Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Pingkun Yan
2022 J jnl
Polar transform network for prostate ultrasound segmentation with uncertainty estimation.
Medical Image Anal.
Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan
2022 J jnl
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal.
Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru
2022 J jnl
Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation.
IEEE Trans. Medical Imaging
Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan
2022 — conf
Transformed Grid Distance Loss for Supervised Image Registration.
WBIR
Xinrui Song, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan
2021 J jnl
AI-Assisted CT as a Clinical and Research Tool for COVID-19.
Frontiers Artif. Intell.
Zion Tsz Ho Tse, Sierra E. Hovet, Hongliang Ren, Tristan Barrett, Sheng Xu, Baris Turkbey, Bradford J. Wood
2021 J jnl
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation.
CoRR
Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth
2021 — conf
Cross-Modal Attention for MRI and Ultrasound Volume Registration.
MICCAI (4)
Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan
2021 J jnl
Cross-modal Attention for MRI and Ultrasound Volume Registration.
CoRR
Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan
2021 J jnl
Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans.
IEEE Access
Samira Masoudi, Sherif Mehralivand, Stephanie A. Harmon, Nathan Lay, Liza Lindenberg, Esther Mena, Peter A. Pinto, Deborah E. Citrin, James L. Gulley, Bradford J. Wood, William L. Dahut, Ravi A. Madan, Ulas Bagci, Peter L. Choyke, Baris Turkbey
2021 J jnl
Federated learning improves site performance in multicenter deep learning without data sharing.
J. Am. Medical Informatics Assoc.
Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold
2021 J jnl
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.
Medical Image Anal.
Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
2021 — conf
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis.
MLMI@MICCAI
Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci
2021 J jnl
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis.
CoRR
Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci
2021 J jnl
Multi-Domain Image Completion for Random Missing Input Data.
IEEE Trans. Medical Imaging
Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu
2021 J jnl
Multi-Task Learning for Registering Images With Large Deformation.
IEEE J. Biomed. Health Informatics
Bo Du, Jiandong Liao, Baris Turkbey, Pingkun Yan
2021 — conf
No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients.
ISBI
Samira Masoudi, Stephanie A. Harmon, Sherif Mehralivand, Nathan Lay, Ulas Bagci, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey
2020 — conf
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation.
EMBC
Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci
2020 J jnl
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation.
CoRR
Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci
2020 — conf
Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging.
ISBI
Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Vanessa Moreno, María Merino, Bradford J. Wood, Jin Tae Kwak
2020 — conf
Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation.
MLMI@MICCAI
Xi Fang, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan
2020 J jnl
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan.
CoRR
Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
2020 J jnl
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.
IEEE Trans. Medical Imaging
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
2020 — conf
Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization.
MICCAI (1)
Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter A. Pinto, Vanessa Moreno, María Merino, Bradford J. Wood, Jin Tae Kwak
2020 J jnl
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound.
Int. J. Comput. Assist. Radiol. Surg.
Alireza Sedghi, Alireza Mehrtash, Amoon Jamzad, Amel Amalou, William M. Wells III, Tina Kapur, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Sheng Xu, Purang Abolmaesumi, Parvin Mousavi
2020 J jnl
Multi-Domain Image Completion for Random Missing Input Data.
CoRR
Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu
2019 J jnl
A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning.
Medical Image Anal.
Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth C. Jones, Bradford J. Wood, Ulas Bagci
2019 J jnl
Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies.
Int. J. Comput. Assist. Radiol. Surg.
Alireza Sedghi, Mehran Pesteie, Golara Javadi, Shekoofeh Azizi, Pingkun Yan, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Robert Rohling, Purang Abolmaesumi, Parvin Mousavi
2019 — conf
Smartglasses/smartphone needle guidance AR system for transperineal prostate procedure.
Image-Guided Procedures
Ming Li, Sheng Xu, Dumitru Mazilu, Baris Turkbey, Bradford J. Wood
2019 J jnl
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation.
CoRR
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
2018 J jnl
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning.
CoRR
Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth C. Jones, Bradford J. Wood, Ulas Bagci
2018 — conf
A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI.
MICCAI (2)
Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers
2018 — conf
A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy.
OR 2.0/CARE/CLIP/ISIC@MICCAI
Abhishek Kolagunda, Scott Sorensen, Sherif Mehralivand, Philip Saponaro, Wayne Treible, Baris Turkbey, Peter A. Pinto, Peter L. Choyke, Chandra Kambhamettu
2018 J jnl
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound.
IEEE Trans. Medical Imaging
Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2018 J jnl
Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.
Int. J. Comput. Assist. Radiol. Surg.
Minh Nguyen Nhat To, Quoc Dang Vu, Baris Turkbey, Peter L. Choyke, Jin Tae Kwak
2018 J jnl
Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect.
Complex.
Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan
2018 — conf
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy.
MICCAI (4)
Shekoofeh Azizi, Pingkun Yan, Amir M. Tahmasebi, Peter A. Pinto, Bradford J. Wood, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Parvin Mousavi, Purang Abolmaesumi
2018 J jnl
Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer.
Comput. Biol. Medicine
Rulon Mayer, Charles B. Simone II, William Skinner, Baris Turkbey, Peter L. Choyke
2018 J jnl
Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy.
Int. J. Comput. Assist. Radiol. Surg.
Shekoofeh Azizi, Nathan Van Woudenberg, Samira Sojoudi, Ming Li, Sheng Xu, Emran Mohammad Abu Anas, Pingkun Yan, Amir M. Tahmasebi, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2017 B conf
Automatic MR prostate segmentation by deep learning with holistically-nested networks.
Image Processing
Ruida Cheng, Holger R. Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan S. McCreedy, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe
2017 — conf
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI.
ISBI
Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers
2017 — conf
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images.
Computer-Aided Diagnosis
Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers
2017 — conf
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI.
ISBI
Ruida Cheng, Nathan Lay, Francesca Mertan, Baris Turkbey, Holger R. Roth, Le Lu, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe, Ronald M. Summers
2017 J jnl
Deeply-Supervised CNN for Prostate Segmentation.
CoRR
Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan
2017 B conf
Deeply-supervised CNN for prostate segmentation.
IJCNN
Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan
2017 J jnl
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection.
Int. J. Comput. Assist. Radiol. Surg.
Shekoofeh Azizi, Parvin Mousavi, Pingkun Yan, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Purang Abolmaesumi
2016 B conf
Active appearance model and deep learning for more accurate prostate segmentation on MRI.
Image Processing
Ruida Cheng, Holger R. Roth, Le Lu, Shijun Wang, Baris Turkbey, William Gandler, Evan S. McCreedy, Harsh K. Agarwal, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe
2016 — conf
An MRI guided system for prostate laser ablation with treatment planning and multi-planar temperature monitoring.
Image-Guided Procedures
Sheng Xu, Harsh K. Agarwal, Marcelino Bernardo, Reza Seifabadi, Baris Turkbey, Ari Partanen, Ayele H. Negussie, Neil D. Glossop, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood
2016 — conf
Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy.
MICCAI (1)
Shekoofeh Azizi, Farhad Imani, Jin Tae Kwak, Amir M. Tahmasebi, Sheng Xu, Pingkun Yan, Jochen Kruecker, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2016 J jnl
Correlation of magnetic resonance imaging with digital histopathology in prostate.
Int. J. Comput. Assist. Radiol. Surg.
Jin Tae Kwak, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, María Merino, Bradford J. Wood
2016 — conf
Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest.
Computer-Aided Diagnosis
Nathan Lay, Sabrina Freeman, Baris Turkbey, Ronald M. Summers
2016 J jnl
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg.
Shekoofeh Azizi, Farhad Imani, Sahar Ghavidel, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2016 — conf
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation.
MCV/BAMBI@MICCAI
Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth C. Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci
2016 J jnl
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation.
CoRR
Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth C. Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci
2016 — conf
Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate.
MICCAI (1)
Fereshteh Aalamifar, Reza Seifabadi, Marcelino Bernardo, Ayele H. Negussie, Baris Turkbey, María Merino, Peter A. Pinto, Arman Rahmim, Bradford J. Wood, Emad M. Boctor
2015 — conf
Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer.
Computer-Aided Diagnosis
Kevin Michael Boehm, Shijun Wang, Karen E. Burtt, Baris Turkbey, Samuel Weisenthal, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers
2015 J jnl
Label Image Constrained Multiatlas Selection.
IEEE Trans. Cybern.
Pingkun Yan, Yihui Cao, Yuan Yuan, Baris Turkbey, Peter L. Choyke
2015 — conf
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks.
MICCAI (2)
Shekoofeh Azizi, Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Nishant Uniyal, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi
2014 — conf
A multiview boosting approach to tissue segmentation.
Digital Pathology
Jin Tae Kwak, Sheng Xu, Peter A. Pinto, Baris Turkbey, Marcelino Bernardo, Peter L. Choyke, Bradford J. Wood
2014 — conf
Atlas based AAM and SVM model for fully automatic MRI prostate segmentation.
EMBC
Ruida Cheng, Baris Turkbey, William Gandler, Harsh K. Agarwal, Vijay P. Shah, Alexandra Bokinsky, Evan S. McCreedy, Shijun Wang, Sandeep Sankineni, Marcelino Bernardo, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe
2014 — conf
Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy.
CLIP@MICCAI
Nishant Uniyal, Farhad Imani, Amir M. Tahmasebi, Harsh K. Agarwal, Shyam Bharat, Pingkun Yan, Jochen Kruecker, Jin Tae Kwak, Sheng Xu, Bradford J. Wood, Peter A. Pinto, Baris Turkbey, Peter L. Choyke, Purang Abolmaesumi, Parvin Mousavi, Mehdi Moradi
2013 B conf
2D registration guided models for semi-automatic MRI prostate segmentation.
Image Processing
Ruida Cheng, Baris Turkbey, Justin Senseney, Marcelino Bernardo, Alexandra Bokinsky, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe
2013 — conf
A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels.
Computer-Aided Diagnosis
Peter Liu, Shijun Wang, Baris Turkbey, Kinzya Grant, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Ronald M. Summers
2013 J jnl
Global structure constrained local shape prior estimation for medical image segmentation.
Comput. Vis. Image Underst.
Pingkun Yan, Wuxia Zhang, Baris Turkbey, Peter L. Choyke, Xuelong Li
2013 J jnl
Prostate Segmentation in MR Images Using Discriminant Boundary Features.
IEEE Trans. Biomed. Eng.
Meijuan Yang, Xuelong Li, Baris Turkbey, Peter L. Choyke, Pingkun Yan
2013 — conf
Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis.
ISBI
Ruida Cheng, Marcelino Bernardo, Justin Senseney, Alexandra Bokinsky, William Gandler, Baris Turkbey, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe
2012 — conf
A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging.
EMBC
Amir M. Tahmasebi, Reza Sharifi, Harsh K. Agarwal, Baris Turkbey, Marcelino Bernardo, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Jochen Kruecker
2012 — conf
An elastic registration framework to estimate prostate deformation in endorectal MR scans.
Image-Guided Procedures
Muqing Lin, Vijay Parthasarathy, Harsh K. Agarwal, Peter L. Choyke, Baris Turkbey, Tobias Klinder, Jochen Kruecker
2012 B conf
Fully automated 3D prostate central gland segmentation in MR images: a LOGISMOS based approach.
Image Processing
Yin Yin, Sergei V. Fotin, Senthil Periaswamy, Justin Kunz, Hrishikesh Haldankar, Naira Muradyan, Baris Turkbey, Peter L. Choyke
2012 B conf
Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement.
Image Processing
Yin Yin, Sergei V. Fotin, Senthil Periaswamy, Justin Kunz, Hrishikesh Haldankar, Naira Muradyan, François Cornud, Baris Turkbey, Peter L. Choyke
2012 — conf
Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images.
MICCAI (3)
Shijun Wang, Peter Liu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers
2012 B conf
Normalized gradient fields cross-correlation for automated detection of prostate in magnetic resonance images.
Image Processing
Sergei V. Fotin, Yin Yin, Senthil Periaswamy, Justin Kunz, Hrishikesh Haldankar, Naira Muradyan, François Cornud, Baris Turkbey, Peter L. Choyke
2011 J jnl
Adaptively Learning Local Shape Statistics for Prostate Segmentation in Ultrasound.
IEEE Trans. Biomed. Eng.
Pingkun Yan, Sheng Xu, Baris Turkbey, Jochen Kruecker
2011 — conf
Segmenting Images by Combining Selected Atlases on Manifold.
MICCAI (3)
Yihui Cao, Yuan Yuan, Xuelong Li, Baris Turkbey, Peter L. Choyke, Pingkun Yan
2010 J jnl
Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation.
IEEE Trans. Biomed. Eng.
Pingkun Yan, Sheng Xu, Baris Turkbey, Jochen Kruecker
2010 — conf
Multi-parametric MRI-pathologic correlation of prostate cancer using tracked biopsies.
Image-Guided Procedures
Sheng Xu, Baris Turkbey, Jochen Kruecker, Pingkun Yan, Julia Locklin, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood
2010 — conf
Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates.
Prostate Cancer Imaging
Samuel Kadoury, Pingkun Yan, Sheng Xu, Neil D. Glossop, Peter L. Choyke, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Jochen Kruecker
2010 — conf
Segmenting TRUS video sequences using local shape statistics.
Image-Guided Procedures
Pingkun Yan, Sheng Xu, Baris Turkbey, Jochen Kruecker
2009 — conf
Optimal search guided by partial active shape model for prostate segmentation in TRUS images.
Image-Guided Procedures
Pingkun Yan, Sheng Xu, Baris Turkbey, Jochen Kruecker