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Research Portal of the TU Dresden

Prof. Dr. Jakob Nikolas Kather
Person

Affiliations

Else Kröner Fresenius Center for Digital Health
- Full Professor
- ekfz.office@ukdd.de
Clusters of Excellence CeTI: Centre for Tactile Internet
- Principal Investigator
Department of Internal Medicine I
- Academic Staff
- jakob_nikolas.kather@tu-dresden.de

Identification Numbers

Scopus author ID	55550069300
Researcher ID	D-4279-2015

Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides (Nature Communications, (2024), 15, 1, (1253), 10.1038/s41467-024-45589-1)

El Nahhas, O. S. M., Loeffler, C. M. L., Carrero, Z. I., van Treeck, M., Kolbinger, F. R., Hewitt, K. J., Muti, H. S., & 10 othersGraziani, M., Zeng, Q., Calderaro, J., Ortiz-Brüchle, N., Yuan, T., Hoffmeister, M., Brenner, H., Brobeil, A., Reis-Filho, J. S. & Kather, J. N., Dec 2024, Nature communications, 15, 1, p. 1868.

Research output: Contribution to specialist publication › Corrections (errata and retractions) › peer-review

Author Correction:: A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports (Scientific Reports, (2023), 13, 1, (20159), 10.1038/s41598-023-47500-2)

Truhn, D., Weber, C. D., Braun, B. J., Bressem, K., Kather, J. N., Kuhl, C. & Nebelung, S., Dec 2024, Scientific reports, 14, 1, p. 5431.

Research output: Contribution to specialist publication › Corrections (errata and retractions) › peer-review

Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology

Gustav, M., Reitsam, N. G., Carrero, Z. I., Loeffler, C. M. L., van Treeck, M., Yuan, T., West, N. P., & 11 othersQuirke, P., Brinker, T. J., Brenner, H., Favre, L., Märkl, B., Stenzinger, A., Brobeil, A., Hoffmeister, M., Calderaro, J., Pujals, A. & Kather, J. N., Dec 2024, In: npj Precision Oncology. 8, 1, 115.

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

Deep learning in cancer genomics and histopathology

Unger, M. & Kather, J. N., Dec 2024, In: Genome medicine. 16, 1, 44.

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

Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images

Tayebi Arasteh, S., Misera, L., Kather, J. N., Truhn, D. & Nebelung, S., Dec 2024, In: European radiology experimental. 8, 1, 10.

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

View all research output (192)

Plenar-Eröffnungsvortrag auf der Jahrestagung der Amerikanischen Gesellschaft für Krebsforschung (AACR)

Kather, J. N. (Speaker)

2024

Activity: Talk or presentation at external institutions/events › Keynote › Invited

Plenarvortrag auf der Jahrestagung der Europäische Gesellschaft für medizinische Onkologie (ESMO)

Kather, J. N. (Speaker)

2024

Activity: Talk or presentation at external institutions/events › Keynote › Invited

Springer Nature (Publisher)

Kather, J. N. (Reviewer)

2024 → …

Activity: Publication peer-review and editorial work › Editorial work

Cancer research communications / AACR (Journal)

Kather, J. N. (Reviewer)

2023 → …

Activity: Publication peer-review and editorial work › Editorial work

ESMO Open (Journal)

Kather, J. N. (Reviewer)

2023 → …

Activity: Publication peer-review and editorial work › Editorial work

View all activities (10)

View all prizes (7)

Research Portal of the TU Dresden

Prof. Dr. Jakob Nikolas Kather
Person

Affiliations

Identification Numbers

Related content

Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides (Nature Communications, (2024), 15, 1, (1253), 10.1038/s41467-024-45589-1)

Author Correction:: A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports (Scientific Reports, (2023), 13, 1, (20159), 10.1038/s41598-023-47500-2)

Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology

Deep learning in cancer genomics and histopathology

Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images

Plenar-Eröffnungsvortrag auf der Jahrestagung der Amerikanischen Gesellschaft für Krebsforschung (AACR)

Plenarvortrag auf der Jahrestagung der Europäische Gesellschaft für medizinische Onkologie (ESMO)

Springer Nature (Publisher)

Cancer research communications / AACR (Journal)

ESMO Open (Journal)

Teaching Award for “Clinicum Digitale”

Thannhauser Prize for outstanding and pioneering scientific work in the field of digestive and metabolic diseases

German Award for Cancer Prevention, Young Investigator Category

Heinz Maier-Leibnitz Award

Research Award