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PhD theses (3)
Žan Klaneček:
Advanced methods of medical image analysis for breast cancer risk prediction
Damijan Valentinuzzi:
Physical models of immunotherapy
Maruša Turk:
Evaluation of bone metastases heterogeneity in metastatic prostate cancer
MSc theses (5)
Damijan Valentinuzzi:
Modeling tumor response to targeted therapy with anti-angiogenic drugs
Vanja Sandrin:
Uporaba $^{18}$F-FDG PET/CT za ugotavljanje odziva na zdravljenje
Andraž Koritnik:
Verjetnostna segmentacija tumorjev v področju glave in vratu
Lana Kralj:
Quantification of variability sources and evaluation of myocarditis extent from MRI LGE images
Katja Strašek:
Identifikacija in kvantifikacija izvorov variabilnosti pri meritvah krčenja srčne mišice levega prekata z ultrazvočno metodo STE
Other documents (8)
Damijan Valentinuzzi, Urban Simončič, Katja Uršič Valentinuzzi, Martina Vrankar, Maruša Turk, Robert Jeraj:
Predicting tumour response to anti-PD-1 immunotherapy with computational modelling
Luciano Rivetti, Andrej Studen, Manju Sharma, Jason Chan, Robert Jeraj:
Uncertainty estimation and evaluation of deformation image registration based convolutional neural networks
Nežka Hribernik, Katja Strašek Smrdel, Daniel T. Huff, Andrej Studen, Katarina Zevnik, Katja Škalič, Robert Jeraj, Martina Reberšek:
The role of quantitative imaging biomarkers in an early FDG-PET/CT for detection of immune-related adverse events in melanoma patients: a prospective study
A. Smolders, Luciano Rivetti, N. Vatterodt, S. S. Korreman, A. Lomax, Manju Sharma, Andrej Studen, D. C. Weber, Robert Jeraj, F. Albertini:
DiffuseRT: predicting likely anatomical deformations of patients undergoing radiotherapy
Luka Snoj, Klemen Ambrožič, Loïc Barbot, Ljudmila Benedik, Arne Bratkič, Ivana Capan, Christelle Reynard-Carette, Vladimir Cindro, Dušan Ćalić, Christophe Destouches, Benoit Geslot, Alireza Haghighat, Romain Henry, Milena Horvat, Elchin M. Huseynov, Grégoire de Izarra, Radojko Jaćimović, Anže Jazbec, Igor Jenčič, Robert Jeraj, Malcolm Joyce, Domen Kotnik, Gregor Kramberger, Igor Lengar, Jan Malec, Igor Mandić, Valerio Mascolino, Vid Merljak, Marko Mikuž, Gilles Noguère, Julijan Peric, Anže Pungerčič, Vladimir Radulović, Sebastjan Rupnik, Borut Smodiš, Zdenka Šlejkovec, Marko Štrok, Žiga Štancar, Ingrid Švajger, Nicolas Thiollay, Iztok Tiselj, Andrej Trkov, Bojan Žefran, Gašper Žerovnik, Ylenia Kogovšek Žiber, Tanja Goričanec:
A half-century of nuclear research, education and training
Brayden Schott, Dmitry Pinchuk, Victor Santoro Fernandes, Žan Klaneček, Luciano Rivetti, Alison Deatsch, Scott Perlman, Yixuan Li, Robert Jeraj:
Uncertainty quantification via localized gradients for deep learning-based medical image assessments
Brayden Schott, Victor Santoro Fernandes, Žan Klaneček, Scott Perlman, Robert Jeraj:
Uncertainty quantification for deep learning-based metastatic lesion segmentation on whole body PET/CT
Yao Kuan Wang, Žan Klaneček, Tobias Wagner, Lesley Cockmartin, Nicholas Marshall, Andrej Studen, Robert Jeraj, Hilde Bosmans:
Using explainable AI to characterize features in the Mirai mammographic breast cancer risk prediction model