Technische Hochschule Ingolstadt

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 Mitosis domain generalization in histopathology images — The MIDOG challenge (2023) Aubreville M, Stathonikos N, Bertram CA, Klopfleisch R, ter Hoeve N, Ciompi F, Wilm F, et al. Journal article Abstract: the MIDOG Challenge 2021 Mitosis Domain Generalization in Histopathology Images (2023) Aubreville M, Stathonikos N, Bertram CA, Klopfleisch R, ter Hoeve N, Ciompi F, Wilm F, et al. Conference contribution A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation (2023) Wachtel D, Queiroz S, Schön T, Huber W, Faria L Conference contribution Evaluation of different hypervisor technologies for real-time sensitive backup strategies in heterogeneous systems (2023) Lex J, Margull U, Fey D, Mader R Conference contribution Entwicklung und Realisierung einer Modellbibliothek für ein Entscheidungsunterstützungssystem in der Kalksandsteinproduktion (2023) Schrage T, Schuderer P, Barth M, Franke J Conference contribution Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images (2023) Ganz J, Lipnik K, Ammeling J, Richter B, Puget C, Parlak E, Diehl L, et al. Conference contribution Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays (2023) Ammeling J, Schmidt LH, Ganz J, Niedermair T, Brochhausen-Delius C, Schulz C, Breininger K, Aubreville M Conference contribution Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge (2023) Ammeling J, Wilm F, Ganz J, Breininger K, Aubreville M Conference contribution Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset (2023) Wilm F, Fragoso M, Marzahl C, Qiu J, Puget C, Diehl L, Bertram CA, et al. Conference contribution