A volumetric segmentation technique for diagnosis and surgical planning in lower torso CT images. - Timothy S. Newman; Ning Tang; Stephen L. Bacharach; Peter L. Choyke (ICPR, 1996)

Development of an ATM-based radiology consultation workstation for radiotherapy treatment planning. - Kenneth M. Kempner; David Chow; Peter L. Choyke; Jerome R. Cox; Jeremy E. Elson; Calvin A. Johnson; Paul Okunieff; Harold Ostrow; John C. Pfeifer; Robert L. Martino (Image Processing, 1997)

Grey-Scale Skeletonization of Small Vessels in Magnetic Resonance Angiography. - Peter J. Yim; Peter L. Choyke; Ronald M. Summers (IEEE Trans. Medical Imaging, 2000)

Detection of Blood Vessels for Radio-Frequency Ablation Treatment Planning. - Peter J. Yim; Hani B. Marcos; Peter L. Choyke; Julia L. Hvizda; Steven K. Libutti; Bradford J. Wood (CBMS, 2001)

Registration of Time-Series Contrast Enhanced Magnetic Resonance Images for Renography. - Peter J. Yim; Hani B. Marcos; Peter L. Choyke; Matthew J. McAuliffe; Delia McGarry; Ian Heaton (CBMS, 2001)

Helical CT of von Hippel-Lindau: semi-automated segmentation of renal lesions. - Ronald M. Summers; Cecily M. L. Agcaoili; Matthew J. McAuliffe; Sarang S. Dalal; Peter J. Yim; Peter L. Choyke; McClellan M. Walther; W. Marston Linehan (ICIP (2), 2001)

Patient-Specific Simulation of Carotid Artery Stenting Using Computational Fluid Dynamics. - Juan R. Cebral; Rainald Löhner; Orlando Soto; Peter L. Choyke; Peter J. Yim (MICCAI, 2001)

Vessel Surface Reconstruction with a Tubular Deformable Model. - Peter J. Yim; Juan R. Cebral; Rakesh Mullick; Peter L. Choyke (IEEE Trans. Medical Imaging, 2001)

Hemodynamic significance of renal artery stenoses from magnetic resonance imaging. - Peter J. Yim; Juan R. Cebral; Boudewijn Vasbinder; Vincent B. Ho; J. M. A. van Engelshoven; Peter L. Choyke (ISBI, 2002)

Deformable isosurface and vascular applications. - Peter J. Yim; G. Boudewijn Vasbinder; Vincent B. Ho; Peter L. Choyke (Image Processing, 2002)

Parallel Patient-Specific Computational Haemodynamics. - Juan R. Cebral; Rainald Löhner; Peter L. Choyke; Peter J. Yim (PARA, 2002)

Slice-adaptive histogram for improvement of anatomical structure extraction in volume data. - Timothy S. Newman; Ning Tang; Chun Dong; Peter L. Choyke (Pattern Recognit. Lett., 2002)

The watershed and skeletonization of angiography. - Peter J. Yim; Desok Kim; Peter L. Choyke (Image Processing, 2003)

Partially independent component analysis of tumor heterogeneities by DCE-MRI. - Junying Zhang; Rujirutana Srikanchana; Jianhua Xuan; Peter L. Choyke; King C. Li; Yue Joseph Wang (Image Processing, 2003)

Computed simultaneous imaging of multiple biomarkers. - Yue Joseph Wang; Jianhua Xuan; Rujirutana Srikanchana; Junying Zhang; Zsolt Szabo; Zaver M. Bhujwalla; Peter L. Choyke; King C. Li (NNSP, 2003)

Automated detection of blood vessels using dynamic programming. - Peter J. Yim; Mark Kayton; Walter Miller; Steven K. Libutti; Peter L. Choyke (Pattern Recognit. Lett., 2003)

Isosurfaces as Deformable Models for Magnetic Resonance Angiography. - Peter J. Yim; G. Boudewijn Vasbinder; Vincent B. Ho; Peter L. Choyke (IEEE Trans. Medical Imaging, 2003)

A Comparison of Pharmacokinetic Models of Dynamic Contrast Enhanced MRI. - Rujirutana Srikanchana; David Thomasson; Peter L. Choyke; Andrew Dwyer (CBMS, 2004)

Computed Simultaneous Imaging of Multiple Functional Biomarkers. - Yue Joseph Wang; Rujirutana Srikanchana; Peter L. Choyke; Jianhua Xuan; Zsolt Szabo (ISBI, 2004)

Modeling and Reconstruction of Mixed Functional and Molecular Patterns. - Yue Joseph Wang; Jianhua Xuan; Rujirutana Srikanchana; Peter L. Choyke (Int. J. Biomed. Imaging, 2006)

Closed-Loop Control in Fused MR-TRUS Image-Guided Prostate Biopsy. - Sheng Xu 001; Jochen Kruecker; Peter Guion; Neil D. Glossop; Ziv Neeman; Peter L. Choyke; Anurag K. Singh; Bradford J. Wood (MICCAI (1), 2007)

Fusion of real-time transrectal ultrasound with pre-acquired MRI for multi-modality prostate imaging. - Jochen Krücker; Sheng Xu 001; Neil D. Glossop; Peter Guion; Peter L. Choyke; Iclal Ocak; Anurag K. Singh; Bradford J. Wood (Image-Guided Procedures, 2007)

Convex analysis and separation of composite signals in DCE-MRI. - Li Chen 018; Tsung-Han Chan; Peter L. Choyke; Chong-Yung Chi; Ge Wang 001; Yue Joseph Wang (ISBI, 2008)

Comparison of diagnostic quality and accuracy in color-coded versus gray-scale DCE-MR imaging display. - Amit Mehndiratta; Michael V. Knopp; Christian M. Zechmann; M. Owsijewitsch; Hendrik von Tengg-Kobligk; P. Zamecnik; Hans-Ulrich Kauczor; Peter L. Choyke; Frederik L. Giesel (Int. J. Comput. Assist. Radiol. Surg., 2009)

Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates. - Samuel Kadoury; Pingkun Yan; Sheng Xu 001; Neil D. Glossop; Peter L. Choyke; Baris Turkbey; Peter A. Pinto; Bradford J. Wood; Jochen Kruecker (Prostate Cancer Imaging, 2010)

Multi-parametric MRI-pathologic correlation of prostate cancer using tracked biopsies. - Sheng Xu 001; Baris Turkbey; Jochen Kruecker; Pingkun Yan; Julia Locklin; Peter A. Pinto; Peter L. Choyke; Bradford J. Wood (Image-Guided Procedures, 2010)

Segmenting Images by Combining Selected Atlases on Manifold. - Yihui Cao; Yuan Yuan 001; Xuelong Li 001; Baris Turkbey; Peter L. Choyke; Pingkun Yan (MICCAI (3), 2011)

CAM-CM: a signal deconvolution tool for in vivo dynamic contrast-enhanced imaging of complex tissues. - Li Chen 018; Tsung-Han Chan; Peter L. Choyke; Elizabeth M. C. Hillman; Chong-Yung Chi; Zaver M. Bhujwalla; Ge Wang 001; Sean S. Wang; Zsolt Szabo; Yue Joseph Wang (Bioinform., 2011)

Tissue-Specific Compartmental Analysis for Dynamic Contrast-Enhanced MR Imaging of Complex Tumors. - Li Chen 018; Peter L. Choyke; Tsung-Han Chan; Chong-Yung Chi; Ge Wang 001; Yue Joseph Wang (IEEE Trans. Medical Imaging, 2011)

A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging. - Amir M. Tahmasebi; Reza Sharifi; Harsh K. Agarwal; Baris Turkbey; Marcelino Bernardo; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Jochen Kruecker (EMBC, 2012)

Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images. - Shijun Wang; Peter Liu; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Ronald M. Summers (MICCAI (3), 2012)

An elastic registration framework to estimate prostate deformation in endorectal MR scans. - Muqing Lin; Vijay Parthasarathy; Harsh K. Agarwal; Peter L. Choyke; Baris Turkbey; Tobias Klinder; Jochen Kruecker (Image-Guided Procedures, 2012)

Normalized gradient fields cross-correlation for automated detection of prostate in magnetic resonance images. - Sergei V. Fotin; Yin Yin; Senthil Periaswamy; Justin Kunz; Hrishikesh Haldankar; Naira Muradyan; François Cornud; Baris Turkbey; Peter L. Choyke (Image Processing, 2012)

Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement. - Yin Yin; Sergei V. Fotin; Senthil Periaswamy; Justin Kunz; Hrishikesh Haldankar; Naira Muradyan; François Cornud; Baris Turkbey; Peter L. Choyke (Image Processing, 2012)

Fully automated 3D prostate central gland segmentation in MR images: a LOGISMOS based approach. - Yin Yin; Sergei V. Fotin; Senthil Periaswamy; Justin Kunz; Hrishikesh Haldankar; Naira Muradyan; Baris Turkbey; Peter L. Choyke (Image Processing, 2012)

Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis. - Ruida Cheng; Marcelino Bernardo; Justin Senseney; Alexandra Bokinsky; William Gandler; Baris Turkbey; Thomas Pohida; Peter L. Choyke; Matthew J. McAuliffe (ISBI, 2013)

A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels. - Peter Liu; Shijun Wang; Baris Turkbey; Kinzya Grant; Peter A. Pinto; Peter L. Choyke; Bradford J. Wood; Ronald M. Summers (Computer-Aided Diagnosis, 2013)

2D registration guided models for semi-automatic MRI prostate segmentation. - Ruida Cheng; Baris Turkbey; Justin Senseney; Marcelino Bernardo; Alexandra Bokinsky; William Gandler; Evan S. McCreedy; Thomas Pohida; Peter L. Choyke; Matthew J. McAuliffe (Image Processing, 2013)

Global structure constrained local shape prior estimation for medical image segmentation. - Pingkun Yan; Wuxia Zhang; Baris Turkbey; Peter L. Choyke; Xuelong Li 001 (Comput. Vis. Image Underst., 2013)

Prostate Segmentation in MR Images Using Discriminant Boundary Features. - Meijuan Yang; Xuelong Li 001; Baris Turkbey; Peter L. Choyke; Pingkun Yan (IEEE Trans. Biomed. Eng., 2013)

Atlas based AAM and SVM model for fully automatic MRI prostate segmentation. - 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; et al. (EMBC, 2014)

Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. - Nishant Uniyal; Farhad Imani; Amir M. Tahmasebi; Harsh K. Agarwal; Shyam Bharat; Pingkun Yan; Jochen Kruecker; Jin Tae Kwak; Sheng Xu 001; Bradford J. Wood; Peter A. Pinto; Baris Turkbey; et al. (CLIP@MICCAI, 2014)

A multiview boosting approach to tissue segmentation. - Jin Tae Kwak; Sheng Xu 001; Peter A. Pinto; Baris Turkbey; Marcelino Bernardo; Peter L. Choyke; Bradford J. Wood (Digital Pathology, 2014)

Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. - 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 (Computer-Aided Diagnosis, 2015)

Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. - Shekoofeh Azizi; Farhad Imani; Bo Zhuang; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Nishant Uniyal; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Mehdi Moradi; et al. (MICCAI (2), 2015)

Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. - Farhad Imani; Bo Zhuang; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Harsh K. Agarwal; Shyam Bharat; Nishant Uniyal; Ismail Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; et al. (Int. J. Comput. Assist. Radiol. Surg., 2015)

Label Image Constrained Multiatlas Selection. - Pingkun Yan; Yihui Cao; Yuan Yuan 001; Baris Turkbey; Peter L. Choyke (IEEE Trans. Cybern., 2015)

An automatic 3D CT/PET segmentation framework for bone marrow proliferation assessment. - Chuong T. Nguyen; Joseph P. Havlicek; Quyen Duong; Sara K. Vesely; Ronald Gress; Liza Lindenberg; Peter L. Choyke; Jennifer Holter Chakrabarty; Kirsten Williams (ICIP, 2016)

Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. - Shekoofeh Azizi; Farhad Imani; Jin Tae Kwak; Amir M. Tahmasebi; Sheng Xu 001; Pingkun Yan; Jochen Kruecker; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; et al. (MICCAI (1), 2016)

Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. - Naji Khosravan; Haydar Celik; Baris Turkbey; Ruida Cheng; Evan S. McCreedy; Matthew J. McAuliffe; Sandra Bednarova; Elizabeth C. Jones; Xinjian Chen 001; Peter L. Choyke; Bradford J. Wood; Ulas Bagci (MCV/BAMBI@MICCAI, 2016)

An MRI guided system for prostate laser ablation with treatment planning and multi-planar temperature monitoring. - Sheng Xu 001; 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 (Image-Guided Procedures, 2016)

Active appearance model and deep learning for more accurate prostate segmentation on MRI. - Ruida Cheng; Holger R. Roth; Le Lu 001; Shijun Wang; Baris Turkbey; William Gandler; Evan S. McCreedy; Harsh K. Agarwal; Peter L. Choyke; Ronald M. Summers; Matthew J. McAuliffe (Image Processing, 2016)

Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. - Shekoofeh Azizi; Farhad Imani; Sahar Ghavidel; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2016)

Correlation of magnetic resonance imaging with digital histopathology in prostate. - Jin Tae Kwak; Sandeep Sankineni; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; María Merino 002; Bradford J. Wood (Int. J. Comput. Assist. Radiol. Surg., 2016)

Representing 3D shapes based on implicit surface functions learned from RBF neural networks. - Guoyu Lu; Li Ren; Abhishek Kolagunda; Xiaolong Wang 006; Ismail Baris Turkbey; Peter L. Choyke; Chandra Kambhamettu (J. Vis. Commun. Image Represent., 2016)

Deeply-supervised CNN for prostate segmentation. - Qikui Zhu; Bo Du 001; Baris Turkbey; Peter L. Choyke; Pingkun Yan (IJCNN, 2017)

Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. - Ruida Cheng; Nathan Lay; Francesca Mertan; Baris Turkbey; Holger R. Roth; Le Lu 001; William Gandler; Evan S. McCreedy; Thomas Pohida; Peter L. Choyke; Matthew J. McAuliffe; Ronald M. Summers (ISBI, 2017)

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. - Yohannes Tsehay; Nathan Lay; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (ISBI, 2017)

Automatic MR prostate segmentation by deep learning with holistically-nested networks. - Ruida Cheng; Holger R. Roth; Nathan Lay; Le Lu 001; Baris Turkbey; William Gandler; Evan S. McCreedy; Peter L. Choyke; Ronald M. Summers; Matthew J. McAuliffe (Image Processing, 2017)

Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. - Shekoofeh Azizi; Parvin Mousavi; Pingkun Yan; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2017)

Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. - Shekoofeh Azizi; Pingkun Yan; Amir M. Tahmasebi; Peter A. Pinto; Bradford J. Wood; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Parvin Mousavi; Purang Abolmaesumi (MICCAI (4), 2018)

A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy. - Abhishek Kolagunda; Scott Sorensen; Sherif Mehralivand; Philip Saponaro; Wayne Treible; Baris Turkbey; Peter A. Pinto; Peter L. Choyke; Chandra Kambhamettu (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. - Nathan Lay; Yohannes Tsehay; Yohan Sumathipala; Ruida Cheng; Sonia Gaur; Clayton Smith; Adrian Barbu; Le Lu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Ronald M. Summers (MICCAI (2), 2018)

Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. - Shekoofeh Azizi; Nathan Van Woudenberg; Samira Sojoudi; Ming Li 052; Sheng Xu 001; Emran Mohammad Abu Anas; Pingkun Yan; Amir M. Tahmasebi; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging. - Minh Nguyen Nhat To; Quoc Dang Vu; Baris Turkbey; Peter L. Choyke; Jin Tae Kwak (Int. J. Comput. Assist. Radiol. Surg., 2018)

Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer. - Rulon Mayer; Charles B. Simone II; William Skinner; Baris Turkbey; Peter L. Choyke (Comput. Biol. Medicine, 2018)

Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect. - Qikui Zhu; Bo Du 001; Baris Turkbey; Peter L. Choyke; Pingkun Yan (Complex., 2018)

MRI Robot for Prostate Focal Laser Ablation: An Ex Vivo Study in Human Prostate. - Reza Seifabadi; Ming Li 052; Sheng Xu 001; Yue Chen; Alexander Squires; Ayele H. Negussie; Ivane Bakhutashvili; Peter L. Choyke; Ismail Baris Turkbey; Zion Tsz Ho Tse; Bradford J. Wood (J. Imaging, 2018)

MRI-Guided Robotically Assisted Focal Laser Ablation of the Prostate Using Canine Cadavers. - Yue Chen; Sheng Xu 001; Alexander Squires; Reza Seifabadi; Ismail Baris Turkbey; Peter A. Pinto; Peter L. Choyke; Bradford J. Wood; Zion Tsz Ho Tse (IEEE Trans. Biomed. Eng., 2018)

Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. - Shekoofeh Azizi; Sharareh Bayat; Pingkun Yan; Amir Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; Purang Abolmaesumi (IEEE Trans. Medical Imaging, 2018)

Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. - Alireza Sedghi; Mehran Pesteie; Golara Javadi; Shekoofeh Azizi; Pingkun Yan; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Robert Rohling; et al. (Int. J. Comput. Assist. Radiol. Surg., 2019)

Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. - Samira Masoudi; Syed Muhammad Anwar; Stephanie A. Harmon; Peter L. Choyke; Baris Turkbey; Ulas Bagci (EMBC, 2020)

Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging. - Minh Nguyen Nhat To; Sandeep Sankineni; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Vanessa Moreno; María Merino 002; Bradford J. Wood; Jin Tae Kwak (ISBI, 2020)

Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. - 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 001; et al. (Int. J. Comput. Assist. Radiol. Surg., 2020)

No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients. - Samira Masoudi; Stephanie A. Harmon; Sherif Mehralivand; Nathan Lay; Ulas Bagci; Bradford J. Wood; Peter A. Pinto; Peter L. Choyke; Baris Turkbey (ISBI, 2021)

Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans. - 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; et al. (IEEE Access, 2021)

Federated learning improves site performance in multicenter deep learning without data sharing. - Karthik V. Sarma; Stephanie A. Harmon; Thomas Sanford; Holger R. Roth; Ziyue Xu 001; Jesse Tetreault; Daguang Xu; Mona G. Flores; Alex G. Raman; Rushikesh Kulkarni; Bradford J. Wood; Peter L. Choyke; et al. (J. Am. Medical Informatics Assoc., 2021)

Multi-Domain Image Completion for Random Missing Input Data. - Liyue Shen; Wentao Zhu 001; Xiaosong Wang 001; Lei Xing 001; John M. Pauly; Baris Turkbey; Stephanie Anne Harmon; Thomas Hogue Sanford; Sherif Mehralivand; Peter L. Choyke; Bradford J. Wood; Daguang Xu (IEEE Trans. Medical Imaging, 2021)

Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors. - Kevin C. Ma; Michael V. Green; Elaine M. Jagoda; Jürgen Seidel; Peter L. Choyke; Baris Turkbey; Stephanie A. Harmon (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Approximate Vertebral Body Instance Segmentation by PET-CT Fusion for Assessment After Hematopoietic Stem Cell Transplantation. - Brandon D. Carson; Favio Hurtado; Joseph P. Havlicek; Lucas J. Powers; Liza Lindenberg; Daniele N. Avila; Christopher G. Kanakry; Peter L. Choyke; Karen Kurdziel; Philip Eclarinal; Kirsten Williams; Jennifer Holter Chakrabarty (BIBE, 2023)

Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT. - Sophia Ty; Fahmida Haque; Parth Desai; Nobuyuki Takahashi; Usamah Chaudhary; Benjamin Simon; Peter L. Choyke; Anish Thomas; Baris Turkbey; Stephanie A. Harmon (AIME (2), 2024)

Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection. - Alex Chen; Nathan Lay; Stephanie A. Harmon; Kutsev Ozyoruk; Enis Yilmaz; Bradford J. Wood; Peter A. Pinto; Peter L. Choyke; Baris Turkbey (ISBI, 2024)

Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts. - 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; et al. (Comput. Biol. Medicine, 2025)