Else Kröner Fresenius Center for Digital Health
Organisational unit: Centre
Contact
Fiedlerstrasse
Haus 10
01307
Dresden
Germany
- Phone: +49 351 458 7558
- Email: ekfz@tu-dresden.de
- TUD website: https://digitalhealth.tu-dresden.de/, external link
71 - 80 out of 270Page size: 10
270 Research output
2023
Study on safety performance and condition‑suggestion accuracy of the symptom assessment mobile applications
Shanzhu, Z., Sunfang, J., Juan, S., Zhigang, P., Yu, Z., Minghui, P. & Hua, Y. & 1 others, , Mar 2023, In: Chinese Journal of General Practitioners. 22, 3, p. 288-294 7 p.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedValidation of the prognostic value of CD3 and CD8 cell densities analogous to the Immunoscore® by stage and location of colorectal cancer: an independent patient cohort study
Alwers, E., Kather, J. N., Kloor, M., Brobeil, A., Tagscherer, K. E., Roth, W. & Echle, A. & 4 others, , Mar 2023, In: The journal of pathology: clinical research. 9, 2, p. 129-136 8 p.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedSelf-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology
Saldanha, O. L., Loeffler, C. M. L., Niehues, J. M., van Treeck, M., Seraphin, T. P., Hewitt, K. J. & Cifci, D. & 4 others, , 28 Mar 2023, In: npj precision oncology : a natureresearch journal. 7 (2023), 1, 5 p., 35.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedAdoption and evaluation of a multistatic Fourier-based synthetic aperture radar method for ultrasound imaging
Dorausch, E. M. G., Swist, D., Herzog, M., Statz, C., Kober, J., Kühnöl, C. & Trittler, T. & 4 others, , 10 Apr 2023.Research output: Contribution to conferences › Poster › Contributed › peer-review
PublishedAI in Computational Pathology of Cancer: Improving Diagnostic Workflows and Clinical Outcomes?
Cifci, D., Veldhuizen, G. P., Foersch, S. & Kather, J. N., 11 Apr 2023, In: Annual Review of Cancer Biology. 7, p. 57-71 15 p.Research output: Contribution to journal › Review article › Contributed › peer-review
PublishedRegression-based Deep-Learning predicts molecular biomarkers from pathology slides
Nahhas, O. S. M. E., Loeffler, C. M. L., Carrero, Z. I., Treeck, M. V., Kolbinger, F. R., Hewitt, K. J. & Muti, H. S. & 10 others, , 11 Apr 2023, 40 p.Research output: Preprint/Documentation/Report › Preprint
PublishedCollaborative training of medical artificial intelligence models with non-uniform labels
Tayebi Arasteh, S., Isfort, P., Saehn, M., Mueller-Franzes, G., Khader, F., Kather, J. N. & Kuhl, C. & 2 others, , 13 Apr 2023, In: Scientific reports. 13(2023), 1, 9 p., 6046.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedLearning from Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies
Gilbert, S., Anderson, S., Daumer, M., Li, P., Melvin, T. & Williams, R., 14 Apr 2023, In: Journal of Medical Internet Research. 25, e43682.Research output: Contribution to journal › Review article › Contributed › peer-review
PublishedGeneralizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
Niehues, J. M., Quirke, P., West, N. P., Grabsch, H. I., van Treeck, M., Schirris, Y. & Veldhuizen, G. P. & 12 others, , 18 Apr 2023, In: Cell Reports : Medicine. 4, 4, 100980.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedMO-0725 Radiomics-based prediction of radiosensitivity from preclinical HNSCC histopathology images
Michlikova, S., Meneghetti, A. R., Loeck, S., Yakimovich, A., Rassamegevanon, T., von Neubeck, C. & Dietrich, A. & 1 others, , May 2023, In: Radiotherapy and oncology. 182, p. S593-S593 1 p.Research output: Contribution to journal › Meeting abstract › Contributed › peer-review
Published