Skip to content Skip to footer

Related content

Automatic structuring of radiology reports with on-premise open-source large language models

Woźnicki, P., Laqua, C., Fiku, I., Hekalo, A., Truhn, D., Engelhardt, S. & Kather, J. & 5 others, Foersch, S., D’Antonoli, T. A., Pinto dos Santos, D., Baeßler, B. & Laqua, F. C., Apr 2025, In: European radiology. 35, p. 2018–2029

Research output: Contribution to journal › Research article › Contributed › peer-review

Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis

Gerussi, A., Saldanha, O. L., Cazzaniga, G., Verda, D., Carrero, Z. I., Engel, B. & Taubert, R. & 27 others, Bolis, F., Cristoferi, L., Malinverno, F., Colapietro, F., Akpinar, R., Di Tommaso, L., Terracciano, L., Lleo, A., Viganó, M., Rigamonti, C., Cabibi, D., Calvaruso, V., Gibilisco, F., Caldonazzi, N., Valentino, A., Ceola, S., Canini, V., Nofit, E., Muselli, M., Calderaro, J., Tiniakos, D., L'Imperio, V., Pagni, F., Zucchini, N., Invernizzi, P., Carbone, M. & Kather, J. N., Feb 2025, In: JHEP Reports. 7, 2, 101198.

Research output: Contribution to journal › Research article › Contributed › peer-review

The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer

Paul, E. D., Huraiová, B., Valková, N., Matyasovska, N., Gábrišová, D., Gubová, S. & Ignačáková, H. & 21 others, Ondris, T., Gala, M., Barroso, L., Bendíková, S., Bíla, J., Buranovská, K., Drobná, D., Krchňáková, Z., Kryvokhyzha, M., Lovíšek, D., Mamoilyk, V., Mancikova, V., Vojtaššáková, N., Ristová, M., Comino-Méndez, I., Andrašina, I., Morozov, P., Tuschl, T., Pareja, F., Kather, J. N. & Čekan, P., 2 Jan 2025, In: Nature communications. 16, 1, p. 226 226.

Research output: Contribution to journal › Research article › Contributed › peer-review

From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology

El Nahhas, O. S. M., van Treeck, M., Wölflein, G., Unger, M., Ligero, M., Lenz, T. & Wagner, S. J. & 5 others, Hewitt, K. J., Khader, F., Foersch, S., Truhn, D. & Kather, J. N., Jan 2025, In: Nature protocols. 20, 1, p. 293–316 24 p., 9297.

Research output: Contribution to journal › Research article › Contributed › peer-review

Role of artificial intelligence in haematolymphoid diagnostics

Syrykh, C., van den Brand, M., Kather, J. N. & Laurent, C., Jan 2025, In: Histopathology. 86, 1, p. 58-68 11 p.

Research output: Contribution to journal › Review article › Contributed › peer-review

View all research output (229)