Tobias Seibel

Aachen, NW, Germany

Last Updated: 09/26/2026

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Found 10 publications

Analysis of B-Scan Ultrasonography Using Neural Networks to Predict Risk of Fibrosis in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD).

Analysis of B-Scan Ultrasonography Using Neural Networks to Predict Risk of Fibrosis in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD).

Journal: Ultrasound in medicine & biology

Published: December 16, 2025

Machine learning for population-level risk prediction of future cholangiocarcinoma.

Machine learning for population-level risk prediction of future cholangiocarcinoma.

Journal: EBioMedicine

Published: October 29, 2025

Machine Learning Predicts Hepatocellular Carcinoma Risk from Routine Clinical Data: A Large Population-Based Multicentric Study.

Machine Learning Predicts Hepatocellular Carcinoma Risk from Routine Clinical Data: A Large Population-Based Multicentric Study.

Journal: Cancer discovery

Published: July 30, 2025

Deep Learning Reveals Liver MRI Features Associated With PNPLA3 I148M in Steatotic Liver Disease.

Deep Learning Reveals Liver MRI Features Associated With PNPLA3 I148M in Steatotic Liver Disease.

Journal: Liver international : official journal of the International Association for the Study of the Liver

Published: January 12, 2025

Phase I study of intratumoral administration of CV8102 in patients with advanced melanoma, squamous cell carcinoma of the skin, squamous cell carcinoma of the head and neck, or adenoid cystic carcinoma.

Phase I study of intratumoral administration of CV8102 in patients with advanced melanoma, squamous cell carcinoma of the skin, squamous cell carcinoma of the head and neck, or adenoid cystic carcinoma.

Journal: Journal for immunotherapy of cancer

Published: November 24, 2024

Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types.

Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types.

Journal: BMC biology

Published: January 08, 2024

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study.

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study.

Journal: medRxiv : the preprint server for health sciences

Published: March 22, 2023

Swarm learning for decentralized artificial intelligence in cancer histopathology.

Swarm learning for decentralized artificial intelligence in cancer histopathology.

Journal: Nature medicine

Published: November 18, 2021

Phase Ib evaluation of a self-adjuvanted protamine formulated mRNA-based active cancer immunotherapy, BI1361849 (CV9202), combined with local radiation treatment in patients with stage IV non-small cell lung cancer.

Phase Ib evaluation of a self-adjuvanted protamine formulated mRNA-based active cancer immunotherapy, BI1361849 (CV9202), combined with local radiation treatment in patients with stage IV non-small cell lung cancer.

Journal: Journal for immunotherapy of cancer

Published: September 28, 2018

Low-dose irradiation programs macrophage differentiation to an iNOS⁺/M1 phenotype that orchestrates effective T cell immunotherapy.

Low-dose irradiation programs macrophage differentiation to an iNOS⁺/M1 phenotype that orchestrates effective T cell immunotherapy.

Journal: Cancer cell

Published: November 21, 2012

Showing 1-10 of 10

Last Updated: 09/26/2026