Technische Universität München (TUM)

Noninferiority of Artificial Intelligence-Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics (2023) Abele N, Tiemann K, Krech T, Wellmann A, Schaaf C, Länger F, Peters A, et al. Journal article Inter-Rater Agreement in Assessing Risk of Bias in Melanoma Prediction Studies Using the Prediction Model Risk of Bias Assessment Tool (PROBAST): Results from a Controlled Experiment on the Effect of Specific Rater Training (2023) Kaiser I, Pfahlberg AB, Mathes S, Uter W, Diehl K, Steeb T, Heppt M, Gefeller O Journal article Adherence to a risk-adapted screening strategy for prostate cancer: First results of the PROBASE trial (2023) Krilaviciute A, Albers P, Lakes J, Radtke JP, Herkommer K, Gschwend J, Peters I, et al. Journal article Algorithmic transparency and interpretability measures improve radiologists’ performance in BI-RADS 4 classification (2023) Jungmann F, Ziegelmayer S, Lohoefer FK, Metz S, Mueller-Leisse C, Englmaier M, Makowski MR, et al. Journal article On the water–fat in-phase assumption for quantitative susceptibility mapping (2023) Boehm C, Schlaeger S, Meineke J, Weiss K, Makowski MR, Karampinos DC Journal article E-NeRF: Neural Radiance Fields From a Moving Event Camera (2023) Klenk S, Koestler L, Scaramuzza D, Cremers D Journal article SAM-X: sorting algorithm for musculoskeletal x-ray radiography (2023) Hinterwimmer F, Consalvo S, Wilhelm N, Seidl F, Burgkart RHH, Von Eisenhart-Rothe R, Rueckert D, Neumann J Journal article A Direction-of-Arrival Estimation System for UAV-Assisted Search and Rescue: Locating Mobile Phones to Improve the Survival Chance of Disaster Victims (2023) Depold A, Dorn C, Erhardt S, Weigel R, Lurz F Journal article Transmicron: accurate prediction of insertion probabilities improves detection of cancer driver genes from transposon mutagenesis screens (2023) Bredthauer C, Fischer A, Ahari AJ, Cao X, Weber J, Rad L, Rad R, et al. Journal article Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry (2023) Wilm F, Ihling C, Méhes G, Terracciano L, Puget C, Klopfleisch R, Schüffler P, et al. Journal article