A. Studen - Expt Particle Phys Dept, Jozef Stefan Inst

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论文共 110 篇作者统计合作学者相似作者

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Longitudinal Interpretability of Deep Learning Based Breast Cancer Risk Prediction

Zan Klanecek,Yao-Kuan Wang,Tobias Wagner,Lesley Cockmartin,Nicholas Marshall,Brayden Schott, Ali Deatsch,Andrej Studen,Katja Jarm,Mateja Krajc,Milos Vrhovec,Hilde Bosmans,Robert Jeraj

PHYSICS IN MEDICINE AND BIOLOGYno. 1 (2025)

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Early-time-point 18F-FDG-PET/CT and Other Prognostic Biomarkers of Survival in Metastatic Melanoma Patients Receiving Immunotherapy

Nezka Hribernik, Katja Strasek,Andrej Studen,Katarina Zevnik, Katja Skalic,Robert Jeraj,Martina Rebersek

Radiology and oncologyno. 1 (2025): 43-53

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Impact of Pectoral Muscle Removal on Deep-Learning-based Breast Cancer Risk Prediction

Zan Klanecek,Yao-Kuan Wang,Tobias Wagner,Lesley Cockmartin,Nicholas Marshall,Brayden Schott, Ali Deatsch,Andrej Studen,Katja Jarm,Mateja Krajc,Miloš Vrhovec,Hilde Bosmans,Robert Jeraj

Physics in medicine and biologyno. 5 (2025)

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Addressing Target and Setup Uncertainties in Head and Neck Radiotherapy Using Probabilistic Optimization

L. Rivetti, G. Buti, T. R. Bortfeld,A. Studen, E. S. Sterpin, V. Gregoire,R. Jeraj

MEDICAL PHYSICSno. 10 (2024): 7674-7675

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Incorporating Longitudinal Screening Data into Image-Based Breast Cancer Risk Assessment

T. Wagner,Z. Klanecek,Y. K. Wang,L. Cockmartin,N. Marshall,A. Studen,R. Jeraj,H. Bosmans

17TH INTERNATIONAL WORKSHOP ON BREAST IMAGING, IWBI 2024 (2024)

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Diagnostic Performance of [99Mtc]tc-N4-lm-3 (TECANT-1), a Novel Somatostatin Receptor Antagonist for Imaging of Neuroendocrine Neoplasms - Results of a First-in-human Multicentre ERA-PerMed TECANT Study

L. Lezaic,C. Decristoforo,C. Rangger,G. di Santo,I. Virgolini,P. Kolenc,K. Zaletel,P. Garnuszek,R. Mikolajczak,A. Studen,U. Simoncic,M. Opalinska,K. Skorkiewicz,B. Glowa,M. Fani, M. Trofimiuk-Muldner, A. Hubalewska-Dydejczyk

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2024): S293-S294

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TECANT ERA PerMed Study - Somatostatin Receptor Antagonists As a New Sensitive Diagnostic Tool for Reliable Assessment of the SSTR Status in Neuroendocrine Neoplasms

M. Opalinska,I Virgolini,L. Lezaic,G. Di Santo,C. Decristoforo,P. Kolenc,R. Mikolajczak,A. Studen,P. Garnuszek,U. Simoncic, M. Trofimiuk-Muldner,C. Rangger,B. Glowa,K. Skorkiewicz,M. Fani,A. Sowa-Staszczak,B. Janota,M. Kroselj,S. Rep, A. A. Hoermann, A. Hubalewska-Dydejczyk

JOURNAL OF NEUROENDOCRINOLOGY (2024): 212-212

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The Impact of Bone Marrow Involvement on Prognosis in Diffuse Large B-Cell Lymphoma: an 18F-FDG PET/CT Volumetric Segmentation Study

Andrej Doma,Andrej Studen,Barbara Jezersek Novakovic

CANCERSno. 22 (2024)

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Detection Performance and Prognostic Value of Initial Bone Marrow Involvement in Diffuse Large B-cell Lymphoma: a Single Centre 18F-FDG PET/CT and Bone Marrow Biopsy Evaluation Study

Andrej Doma,Katarina Zevnik,Andrej Studen,Veronika Kloboves Prevodnik,Gorana Gasljevic,Barbara Jezersek Novakovic

RADIOLOGY AND ONCOLOGY（2024）

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Transfer Learning from Breast Cancer Detection Models for Image-Based Breast Cancer Risk Prediction

T. Wagner,Z. Klanecek,Y. K. Wang,L. Cockmartin,N. Marshall,A. Studen,R. Jeraj,H. Bosmans

COMPUTER-AIDED DIAGNOSIS, MEDICAL IMAGING 2024 (2024)

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