Prof. Dr. Bernd Wullich

Lehrstuhl für Urologie

HLA-G expression associates with immune evasion muscle-invasive urothelial cancer and drives prognostic relevance () Branz A, Matek C, Lange F, Bahlinger V, Klümper N, Hölzel M, Strissel P, et al. Journal article Assessment of a fully-automated diagnostic AI software in prostate MRI: Clinical evaluation and histopathological correlation () Bayerl N, Adams LC, Cavallaro AJ, Bäuerle T, Schlicht M, Wullich B, Hartmann A, et al. Journal article Tumor grade-titude: XGBoost radiomics paves the way for RCC classification (2025) Ellmann S, von Rohr F, Komina S, Bayerl N, Amann KU, Polifka I, Hartmann A, et al. Journal article Infectious complications following transperineal prostate biopsy with or without periprocedural antibiotic prophylaxis—a systematic review including meta-analysis of all comparative studies (2025) Wolff I, Büchner M, Hauner K, Wagenlehner F, Burchardt M, Abele-Horn M, Wullich B, et al. Journal article, Review article Preoperative geriatric assessment to predict functional outcome after major urologic operations: Results from a multicenter study (2024) Graf S, Lutz J, Koneval L, Kalogirou C, Weiß SC, Bannert H, Taubert H, et al. Journal article Multicenter evaluation of complex urinary diversion for renal transplantation: outcomes of complex surgical solutions (2024) Flegar L, Huber J, Putz J, Thomas C, Apel H, Wullich B, Friedersdorff F, et al. Journal article NanoLuc Binary Technology as a methodological approach: an important new tool for studying the localization of androgen receptor and androgen receptor splice variant V7 homo and heterodimers (2024) Guzman J, Weigelt K, Neumann AD, Tripal P, Schmid B, Winter Z, Palmisano R, et al. Journal article Kidney transplantation in prostate cancer patients after local therapy with curative intent: a systematic review (2024) Rumpff C, Lieb V, Wullich B, Schiffer M, Kunath F, Apel H Journal article, Review article Prognostic and Predictive Potential of CCL5 Expression in Muscle-Invasive Bladder Cancer Patients (2024) Smolka C, Eckstein M, Jung R, Lieb V, Sikic D, Stöhr R, Bahlinger V, et al. Journal article A deep-learning workflow to predict upper tract urothelial carcinoma protein-based subtypes from H&E slides supporting the prioritization of patients for molecular testing (2024) Angeloni M, van Doeveren T, Lindner S, Volland P, Schmelmer J, Foersch S, Matek C, et al. Journal article