Ipsilateral hemigland prostate biopsy may underestimate cancer burden in patients with unilateral mpMRI-visible lesions von Phelps, Tim E., Yilmaz, Enis C., Harmon, Stephanie A., Belue, Mason J., Shih, Joanna H., Garcia, Charisse, Hazen, Lindsey A., Toubaji, Antoun, Merino, Maria J., Gurram, Sandeep, Choyke, Peter L., Wood, Bradford J., Pinto, Peter A., Turkbey, Baris

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Prostate MRI and image Quality: It is time to take stock von Lin, Yue, Yilmaz, Enis C., Belue, Mason J., Turkbey, Baris

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Evaluating a deep learning AI algorithm for detecting residual prostate cancer on MRI after focal therapy von Gelikman, David G., Harmon, Stephanie A., Kenigsberg, Alexander P., Law, Yan Mee, Yilmaz, Enis C., Merino, Maria J., Wood, Bradford J., Choyke, Peter L., Pinto, Peter A., Turkbey, Baris

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Evaluating Diagnostic Accuracy and Inter-reader Agreement of the Prostate Imaging After Focal Ablation Scoring System von Gelikman, David G., Kenigsberg, Alexander P., Mee Law, Yan, Yilmaz, Enis C., Harmon, Stephanie A., Parikh, Sahil H., Hyman, Jason A., Huth, Hannah, Koller, Christopher R., Nethala, Daniel, Hesswani, Charles, Merino, Maria J., Gurram, Sandeep, Choyke, Peter L., Wood, Bradford J., Pinto, Peter A., Turkbey, Baris

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Interpreting Prostate Multiparametric MRI: Beyond Adenocarcinoma – Anatomical Variations, Mimickers, and Post-Intervention Changes von Yilmaz, Enis C., Esengur, Omer Tarik, Gelikman, David G., Turkbey, Baris

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Prospective Evaluation of PI-RADS Version 2.1 for Prostate Cancer Detection and Investigation of Multiparametric MRI-derived Markers von Yilmaz, Enis C, Shih, Joanna H, Belue, Mason J, Harmon, Stephanie A, Phelps, Tim E, Garcia, Charisse, Hazen, Lindsey A, Toubaji, Antoun, Merino, Maria J, Gurram, Sandeep, Choyke, Peter L, Wood, Bradford J, Pinto, Peter A, Turkbey, Baris

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The added value of a deep learning-based computer-aided detection system on prostate cancer detection among readers with varying level of multiparametric MRI expertise von Yilmaz, Enis C., Turkbey, Baris

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Deep Learning‐Based T2‐Weighted MR Image Quality Assessment and Its Impact on Prostate Cancer Detection Rates von Lin, Yue, Belue, Mason J., Yilmaz, Enis C., Harmon, Stephanie A., An, Julie, Law, Yan Mee, Hazen, Lindsey, Garcia, Charisse, Merriman, Katie M., Phelps, Tim E., Lay, Nathan S., Toubaji, Antoun, Merino, Maria J., Wood, Bradford J., Gurram, Sandeep, Choyke, Peter L., Pinto, Peter A., Turkbey, Baris

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A Brief Review of Artificial Intelligence in Genitourinary Oncological Imaging von Yilmaz, Enis C., Belue, Mason J., Turkbey, Baris, Reinhold, Caroline, Choyke, Peter L.

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Comparison of MRI-Based Staging and Pathologic Staging for Predicting Biochemical Recurrence of Prostate Cancer After Radical Prostatectomy von Merriman, Katie M, Harmon, Stephanie A, Belue, Mason J, Yilmaz, Enis C, Blake, Zoë, Lay, Nathan S, Phelps, Tim E, Merino, Maria J, Parnes, Howard L, Law, Yan Mee, Gurram, Sandeep, Wood, Bradford J, Choyke, Peter L, Pinto, Peter A, Turkbey, Baris

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Deep Learning-Based Interpretable AI for Prostate T2W MRI Quality Evaluation von Belue, Mason J., Law, Yan Mee, Marko, Jamie, Turkbey, Evrim, Malayeri, Ashkan, Yilmaz, Enis C., Lin, Yue, Johnson, Latrice, Merriman, Katie M., Lay, Nathan S., Wood, Bradford J., Pinto, Peter A., Choyke, Peter L., Harmon, Stephanie A., Turkbey, Baris

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Comparison of Transatlantic Recommendations for Prostate Gland Evaluation with MRI after Focal Therapy (TARGET) and Prostate Imaging after Focal Ablation (PI-FAB) for Detecting Rec... von Esengur, Omer Tarik, Gelikman, David G., Law, Yan Mee, Yilmaz, Enis C., Harmon, Stephanie A., Merino, Maria J., Gurram, Sandeep, Choyke, Peter L., Wood, Bradford J., Pinto, Peter A., Turkbey, Baris

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Quality of T2-weighted MRI re-acquisition versus deep learning GAN image reconstruction: A multi-reader study von Belue, Mason J., Harmon, Stephanie A., Masoudi, Samira, Barrett, Tristan, Law, Yan Mee, Purysko, Andrei S., Panebianco, Valeria, Yilmaz, Enis C., Lin, Yue, Jadda, Pavan Kumar, Raavi, Sitarama, Wood, Bradford J., Pinto, Peter A., Choyke, Peter L., Turkbey, Baris

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Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest Classification von Simon, Benjamin D., Merriman, Katie M., Harmon, Stephanie A., Tetreault, Jesse, Yilmaz, Enis C., Blake, Zoë, Merino, Maria J., An, Julie Y., Marko, Jamie, Law, Yan Mee, Gurram, Sandeep, Wood, Bradford J., Choyke, Peter L., Pinto, Peter A., Turkbey, Baris

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Is prostatic adenocarcinoma with cribriform architecture more difficult to detect on prostate MRI? von Belue, Mason J, Blake, Zoë, Yilmaz, Enis C, Lin, Yue, Harmon, Stephanie A, Nemirovsky, Daniel R, Enders, Jacob J, Kenigsberg, Alexander P, Mendhiratta, Neil, Rothberg, Michael, Toubaji, Antoun, Merino, Maria J, Gurram, Sandeep, Wood, Bradford J, Choyke, Peter L, Turkbey, Baris, Pinto, Peter A

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Evaluation of a Deep Learning-based Algorithm for Post-Radiotherapy Prostate Cancer Local Recurrence Detection Using Biparametric MRI von Yilmaz, Enis C, Harmon, Stephanie A, Belue, Mason J, Merriman, Katie M, Phelps, Tim E, Lin, Yue, Garcia, Charisse, Hazen, Lindsey, Patel, Krishnan R, Merino, Maria J, Wood, Bradford J, Choyke, Peter L, Pinto, Peter A, Citrin, Deborah E, Turkbey, Baris

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Multimodal approach to optimize biopsy decision-making for PI-RADS 3 lesions on multiparametric MRI von Esengur, Omer Tarik, Yilmaz, Enis C., Ozyoruk, Kutsev B., Chen, Alex, Lay, Nathan S., Gelikman, David G., Merino, Maria J., Gurram, Sandeep, Wood, Bradford J., Choyke, Peter L., Harmon, Stephanie A., Pinto, Peter A., Turkbey, Baris

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Deep learning-based image quality assessment: impact on detection accuracy of prostate cancer extraprostatic extension on MRI von Lin, Yue, Belue, Mason J., Yilmaz, Enis C., Law, Yan Mee, Merriman, Katie M., Phelps, Tim E., Gelikman, David G., Ozyoruk, Kutsev B., Lay, Nathan S., Merino, Maria J., Wood, Bradford J., Gurram, Sandeep, Choyke, Peter L., Harmon, Stephanie A., Pinto, Peter A., Turkbey, Baris

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Deep Learning-Based Detection and Classification of Bone Lesions on Staging Computed Tomography in Prostate Cancer: A Development Study von Belue, Mason J., Harmon, Stephanie A., Yang, Dong, An, Julie Y., Gaur, Sonia, Law, Yan Mee, Turkbey, Evrim, Xu, Ziyue, Tetreault, Jesse, Lay, Nathan S., Yilmaz, Enis C., Phelps, Tim E., Simon, Benjamin, Lindenberg, Liza, Mena, Esther, Pinto, Peter A., Bagci, Ulas, Wood, Bradford J., Citrin, Deborah E., Dahut, William L., Madan, Ravi A., Gulley, James L., Xu, Daguang, Choyke, Peter L., Turkbey, Baris

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Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods von Johnson, Latrice A., Harmon, Stephanie A., Yilmaz, Enis C., Lin, Yue, Belue, Mason J., Merriman, Katie M., Lay, Nathan S., Sanford, Thomas H., Sarma, Karthik V., Arnold, Corey W., Xu, Ziyue, Roth, Holger R., Yang, Dong, Tetreault, Jesse, Xu, Daguang, Patel, Krishnan R., Gurram, Sandeep, Wood, Bradford J., Citrin, Deborah E., Pinto, Peter A., Choyke, Peter L., Turkbey, Baris

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