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

K. Boehm, S. Wang, K. Burtt, B. Turkbey, S. Weisenthal, P. Pinto, P. Choyke, B. Wood, N. Petrick, B. Sahiner, and R. Summers. Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94140S. SPIE, (2015)

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Inter- and Intra-Observer Variability of Radiologists Evaluating CBIR Systems.L. Hadjiiski, H. chong Cho, H. Chan, B. Sahiner, M. Helvie, C. Paramagul, and A. Nees. Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 482-489. Springer, (2012)Synthetic Data in Radiological Imaging: Current State and Future Outlook.E. Sizikova, A. Badal, J. Delfino, M. Lago, B. Nelson, N. Saharkhiz, B. Sahiner, G. Zamzmi, and A. Badano. CoRR, (2024)DICaugment: A Python Package for 3D Medical Imaging Augmentation.J. McIntosh, Q. Cao, B. Sahiner, N. Petrick, and M. Farhangi. J. Open Source Softw., 9 (96): 6120 (April 2024)AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks.X. Wang, B. Sahiner, C. Scully, and K. Cha. EMBC, page 1-5. IEEE, (2023)S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images.A. Kim, N. Saharkhiz, E. Sizikova, M. Lago, B. Sahiner, J. Delfino, and A. Badano. MICCAI (3), volume 15003 of Lecture Notes in Computer Science, page 734-744. Springer, (2024)Monitoring machine learning-based risk prediction algorithms in the presence of performativity.J. Feng, A. Gossmann, G. Pennello, N. Petrick, B. Sahiner, and R. Pirracchio. AISTATS, volume 238 of Proceedings of Machine Learning Research, page 919-927. PMLR, (2024)Towards the use of computationally inserted lesions for mammographic CAD assessment.Z. Ghanian, A. Pezeshk, N. Petrick, and B. Sahiner. Image Perception, Observer Performance, and Technology Assessment, volume 10577 of SPIE Proceedings, page 105770L. SPIE, (2018)Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel.N. Kamona, Q. Li, B. Berman, B. Sahiner, and N. Petrick. Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109501S. SPIE, (2019)Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images.K. Cha, N. Petrick, A. Pezeshk, C. Graff, D. Sharma, A. Badal, A. Badano, and B. Sahiner. Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095004. SPIE, (2019)Digital Mammography DREAM Challenge Overview (Conference Presentation).B. Sahiner. Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101344I. SPIE, (2017)

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