Dmitry Pinchuk

1. SCHOTT, Brayden, SANTORO FERNANDES, Victor, KLANEČEK, Žan, PINCHUK, Dmitry, JERAJ, Robert. Uncertainty quantification for deep learning-based metastatic tumor delineation on [sup]68Ga-DOTATATE PET/CT images. In: APS March Meeting 2024 : March 4–8, 2024, Minneapolis & Virtual. College Park: American Physical Society, 2024. Bulletin of the American Physical Society, 2024. https://meetings.aps.org/Meeting/MAR24/Session/Z18.14. [COBISS.SI-ID 188872195]

2. SCHOTT, Brayden, PINCHUK, Dmitry, SANTORO FERNANDES, Victor, KLANEČEK, Žan, RIVETTI, Luciano, DEATSCH, Alison, PERLMAN, Scott, LI, Yixuan, JERAJ, Robert. Uncertainty quantification via localized gradients for deep learning-based medical image assessments. Physics in Medicine & Biology. 2024, vol. 69, no. 15, art. no. 155015, 19 str., ilustr. ISSN 0031-9155. Repository of the University of Ljubljana – RUL , DOI: 10.1088/1361-6560/ad611d. [COBISS.SI-ID 239051523]