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Baris Turkbey
Ismail Baris Turkbey
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2020 – today
- 2025
- [j33]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:
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning. Medical Image Anal. 99: 103382 (2025) - 2024
- [c51]Zhijun Chen, Erolcan Sayar, Haoyue Zhang, Helen Richards, Lucas Liu, Baris Turkbey, Michael Haffner, Stephanie A. Harmon:
A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images. AIME (2) 2024: 9-20 - [c50]Sophia Ty, Fahmida Haque, Parth Desai, Nobuyuki Takahashi, Usamah Chaudhary, Benjamin Simon, Peter L. Choyke, Anish Thomas, Baris Turkbey, Stephanie A. Harmon:
Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT. AIME (2) 2024: 40-44 - [c49]Alex Chen, Nathan Lay, Stephanie A. Harmon, Kutsev Ozyoruk, Enis Yilmaz, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey:
Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection. ISBI 2024: 1-5 - [c48]Xin Zhu, Hongyi Pan, Batuhan Gundogdu, Debesh Jha, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci:
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. MLMI@MICCAI (1) 2024: 208-217 - [c47]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. WACV 2024: 2183-2192 - [i21]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:
Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging. CoRR abs/2402.05817 (2024) - [i20]Xin Zhu, Hongyi Pan, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci:
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. CoRR abs/2403.05024 (2024) - [i19]Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci:
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques. CoRR abs/2404.17064 (2024) - [i18]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:
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR abs/2405.12367 (2024) - [i17]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:
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. CoRR abs/2406.05285 (2024) - [i16]Alex Chen, Nathan Lay, Stephanie A. Harmon, Kutsev Ozyoruk, Enis Yilmaz, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey:
Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection. CoRR abs/2406.12177 (2024) - [i15]Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu:
MAISI: Medical AI for Synthetic Imaging. CoRR abs/2409.11169 (2024) - 2023
- [j32]Xi Fang, Xuanang Xu, James J. Xia, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Shape description losses for medical image segmentation. Mach. Vis. Appl. 34(4): 57 (2023) - [c46]Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Thomas Sanford, Bradford J. Wood, Pingkun Yan:
Distance map supervised landmark localization for MR-TRUS registration. Image Processing 2023 - [i14]Zheyuan Zhang, Bin Wang, Lanhong Yao, Ugur Demir, Debesh Jha, Ismail Baris Turkbey, Boqing Gong, Ulas Bagci:
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation. CoRR abs/2304.02720 (2023) - [i13]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification. CoRR abs/2305.18221 (2023) - 2022
- [j31]Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Polar transform network for prostate ultrasound segmentation with uncertainty estimation. Medical Image Anal. 78: 102418 (2022) - [j30]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:
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82: 102605 (2022) - [j29]Xinrui Song, Hanqing Chao, Xuanang Xu, Hengtao Guo, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Ge Wang, Pingkun Yan:
Cross-modal attention for multi-modal image registration. Medical Image Anal. 82: 102612 (2022) - [j28]Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation. IEEE Trans. Medical Imaging 41(6): 1331-1345 (2022) - [c45]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:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) 2022: 437-455 - [c44]Kevin C. Ma, Michael V. Green, Elaine M. Jagoda, Jürgen Seidel, Peter L. Choyke, Baris Turkbey, Stephanie A. Harmon:
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 2022 - [c43]Ming Li, Nicole Varble, Baris Turkbey, Sheng Xu, Bradford J. Wood:
Camera-based distance detection and contact tracing to monitor potential spread of COVID-19. Image Perception, Observer Performance, and Technology Assessment 2022 - [c42]Xinrui Song, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Transformed Grid Distance Loss for Supervised Image Registration. WBIR 2022: 177-181 - [i12]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:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR abs/2203.06338 (2022) - [i11]Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Pingkun Yan:
Distance Map Supervised Landmark Localization for MR-TRUS Registration. CoRR abs/2210.05738 (2022) - 2021
- [j27]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:
Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans. IEEE Access 9: 87531-87542 (2021) - [j26]Zion Tsz Ho Tse, Sierra E. Hovet, Hongliang Ren, Tristan Barrett, Sheng Xu, Baris Turkbey, Bradford J. Wood:
AI-Assisted CT as a Clinical and Research Tool for COVID-19. Frontiers Artif. Intell. 4: 590189 (2021) - [j25]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:
Federated learning improves site performance in multicenter deep learning without data sharing. J. Am. Medical Informatics Assoc. 28(6): 1259-1264 (2021) - [j24]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:
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. 70: 101992 (2021) - [j23]Bo Du, Jiandong Liao, Baris Turkbey, Pingkun Yan:
Multi-Task Learning for Registering Images With Large Deformation. IEEE J. Biomed. Health Informatics 25(5): 1624-1633 (2021) - [j22]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:
Multi-Domain Image Completion for Random Missing Input Data. IEEE Trans. Medical Imaging 40(4): 1113-1122 (2021) - [c41]Samira Masoudi, Stephanie A. Harmon, Sherif Mehralivand, Nathan Lay, Ulas Bagci, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey:
No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients. ISBI 2021: 1201-1205 - [c40]Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Cross-Modal Attention for MRI and Ultrasound Volume Registration. MICCAI (4) 2021: 66-75 - [c39]Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. MLMI@MICCAI 2021: 396-405 - [i10]Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. CoRR abs/2104.02869 (2021) - [i9]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:
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. CoRR abs/2104.10195 (2021) - [i8]Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Cross-modal Attention for MRI and Ultrasound Volume Registration. CoRR abs/2107.04548 (2021) - 2020
- [j21]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:
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1215-1223 (2020) - [j20]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging 39(7): 2531-2540 (2020) - [c38]Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci:
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. EMBC 2020: 1624-1628 - [c37]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:
Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging. ISBI 2020: 438-441 - [c36]Xi Fang, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation. MLMI@MICCAI 2020: 160-169 - [c35]Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter A. Pinto, Vanessa Moreno, María Merino, Bradford J. Wood, Jin Tae Kwak:
Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization. MICCAI (1) 2020: 572-581 - [i7]Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci:
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. CoRR abs/2005.05761 (2020) - [i6]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:
Multi-Domain Image Completion for Random Missing Input Data. CoRR abs/2007.05534 (2020) - [i5]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:
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR abs/2011.11750 (2020)
2010 – 2019
- 2019
- [j19]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:
Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1009-1016 (2019) - [j18]Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth C. Jones, Bradford J. Wood, Ulas Bagci:
A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning. Medical Image Anal. 51: 101-115 (2019) - [c34]Ming Li, Sheng Xu, Dumitru Mazilu, Baris Turkbey, Bradford J. Wood:
Smartglasses/smartphone needle guidance AR system for transperineal prostate procedure. Image-Guided Procedures 2019: 109510Z - [i4]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR abs/1906.03347 (2019) - 2018
- [j17]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:
Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1201-1209 (2018) - [j16]Minh Nguyen Nhat To, Quoc Dang Vu, Baris Turkbey, Peter L. Choyke, Jin Tae Kwak:
Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging. Int. J. Comput. Assist. Radiol. Surg. 13(11): 1687-1696 (2018) - [j15]Rulon Mayer, Charles B. Simone II, William Skinner, Baris Turkbey, Peter L. Choyke:
Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer. Comput. Biol. Medicine 94: 65-73 (2018) - [j14]Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect. Complex. 2018: 4185279:1-4185279:10 (2018) - [j13]Reza Seifabadi, Ming Li, Sheng Xu, Yue Chen, Alexander Squires, Ayele H. Negussie, Ivane Bakhutashvili, Peter L. Choyke, Ismail Baris Turkbey, Zion Tsz Ho Tse, Bradford J. Wood:
MRI Robot for Prostate Focal Laser Ablation: An Ex Vivo Study in Human Prostate. J. Imaging 4(12): 140 (2018) - [j12]Yue Chen, Sheng Xu, Alexander Squires, Reza Seifabadi, Ismail Baris Turkbey, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Zion Tsz Ho Tse:
MRI-Guided Robotically Assisted Focal Laser Ablation of the Prostate Using Canine Cadavers. IEEE Trans. Biomed. Eng. 65(7): 1434-1442 (2018) - [j11]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:
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. IEEE Trans. Medical Imaging 37(12): 2695-2703 (2018) - [c33]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:
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. MICCAI (4) 2018: 21-29 - [c32]Abhishek Kolagunda, Scott Sorensen, Sherif Mehralivand, Philip Saponaro, Wayne Treible, Baris Turkbey, Peter A. Pinto, Peter L. Choyke, Chandra Kambhamettu:
A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 164-174 - [c31]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:
A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. MICCAI (2) 2018: 930-939 - [i3]Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth C. Jones, Bradford J. Wood, Ulas Bagci:
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning. CoRR abs/1802.06260 (2018) - 2017
- [j10]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:
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. Int. J. Comput. Assist. Radiol. Surg. 12(7): 1111-1121 (2017) - [c30]Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Deeply-supervised CNN for prostate segmentation. IJCNN 2017: 178-184 - [c29]Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers:
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. ISBI 2017: 642-645 - [c28]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:
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. ISBI 2017: 749-753 - [c27]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:
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. Computer-Aided Diagnosis 2017: 1013405 - [c26]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:
Automatic MR prostate segmentation by deep learning with holistically-nested networks. Image Processing 2017: 101332H - [i2]Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Deeply-Supervised CNN for Prostate Segmentation. CoRR abs/1703.07523 (2017) - 2016
- [j9]Jin Tae Kwak, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, María Merino, Bradford J. Wood:
Correlation of magnetic resonance imaging with digital histopathology in prostate. Int. J. Comput. Assist. Radiol. Surg. 11(4): 657-666 (2016) - [j8]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:
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. 11(6): 947-956 (2016) - [j7]Guoyu Lu, Li Ren, Abhishek Kolagunda, Xiaolong Wang, Ismail Baris Turkbey, Peter L. Choyke, Chandra Kambhamettu:
Representing 3D shapes based on implicit surface functions learned from RBF neural networks. J. Vis. Commun. Image Represent. 40: 852-860 (2016) - [c25]Nathan Lay, Sabrina Freeman, Baris Turkbey, Ronald M. Summers:
Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest. Computer-Aided Diagnosis 2016: 978527 - [c24]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:
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. MCV/BAMBI@MICCAI 2016: 94-104 - [c23]Fereshteh Aalamifar, Reza Seifabadi, Marcelino Bernardo, Ayele H. Negussie, Baris Turkbey, María Merino, Peter A. Pinto, Arman Rahmim, Bradford J. Wood, Emad M. Boctor:
Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate. MICCAI (1) 2016: 577-584 - [c22]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:
Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. MICCAI (1) 2016: 653-661 - [c21]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:
An MRI guided system for prostate laser ablation with treatment planning and multi-planar temperature monitoring. Image-Guided Procedures 2016: 97861I - [c20]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:
Active appearance model and deep learning for more accurate prostate segmentation on MRI. Image Processing 2016: 97842I - [i1]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:
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. CoRR abs/1608.03235 (2016) - 2015
- [j6]Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Harsh K. Agarwal, Shyam Bharat, Nishant Uniyal, Ismail Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi:
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. 10(6): 727-735 (2015) - [j5]Pingkun Yan, Yihui Cao, Yuan Yuan, Baris Turkbey, Peter L. Choyke:
Label Image Constrained Multiatlas Selection. IEEE Trans. Cybern. 45(6): 1158-1168 (2015) - [c19]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:
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 2015: 94140S - [c18]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:
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. MICCAI (2) 2015: 70-77 - 2014
- [c17]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:
Atlas based AAM and SVM model for fully automatic MRI prostate segmentation. EMBC 2014: 2881-2585 - [c16]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:
Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. CLIP@MICCAI 2014: 142-150 - [c15]Jin Tae Kwak, Sheng Xu, Peter A. Pinto, Baris Turkbey, Marcelino Bernardo, Peter L. Choyke, Bradford J. Wood:
A multiview boosting approach to tissue segmentation. Digital Pathology 2014: 90410R - 2013
- [j4]Pingkun Yan, Wuxia Zhang, Baris Turkbey, Peter L. Choyke, Xuelong Li:
Global structure constrained local shape prior estimation for medical image segmentation. Comput. Vis. Image Underst. 117(9): 1017-1026 (2013) - [j3]Meijuan Yang, Xuelong Li, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Prostate Segmentation in MR Images Using Discriminant Boundary Features. IEEE Trans. Biomed. Eng. 60(2): 479-488 (2013) - [c14]Ruida Cheng, Marcelino Bernardo, Justin Senseney, Alexandra Bokinsky, William Gandler, Baris Turkbey, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe:
Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis. ISBI 2013: 185-189 - [c13]Peter Liu, Shijun Wang, Baris Turkbey, Kinzya Grant, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Ronald M. Summers:
A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels. Computer-Aided Diagnosis 2013: 86701G - [c12]Ruida Cheng, Baris Turkbey, Justin Senseney, Marcelino Bernardo, Alexandra Bokinsky, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe:
2D registration guided models for semi-automatic MRI prostate segmentation. Image Processing 2013: 86692V - 2012
- [c11]Amir M. Tahmasebi, Reza Sharifi, Harsh K. Agarwal, Baris Turkbey, Marcelino Bernardo, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Jochen Kruecker:
A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging. EMBC 2012: 5412-5415 - [c10]Shijun Wang, Peter Liu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers:
Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images. MICCAI (3) 2012: 582-589 - [c9]Muqing Lin, Vijay Parthasarathy, Harsh K. Agarwal, Peter L. Choyke, Baris Turkbey, Tobias Klinder, Jochen Kruecker:
An elastic registration framework to estimate prostate deformation in endorectal MR scans. Image-Guided Procedures 2012: 831610 - [c8]Sergei V. Fotin, Yin Yin, Senthil Periaswamy, Justin Kunz, Hrishikesh Haldankar, Naira Muradyan, François Cornud, Baris Turkbey, Peter L. Choyke:
Normalized gradient fields cross-correlation for automated detection of prostate in magnetic resonance images. Image Processing 2012: 83140V - [c7]Yin Yin, Sergei V. Fotin, Senthil Periaswamy, Justin Kunz, Hrishikesh Haldankar, Naira Muradyan, Baris Turkbey, Peter L. Choyke:
Fully automated 3D prostate central gland segmentation in MR images: a LOGISMOS based approach. Image Processing 2012: 83143B - [c6]Yin Yin, Sergei V. Fotin, Senthil Periaswamy, Justin Kunz, Hrishikesh Haldankar, Naira Muradyan, François Cornud, Baris Turkbey, Peter L. Choyke:
Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement. Image Processing 2012: 831406 - 2011
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