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Cancers
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April 3, 2021
Predicting the Risk of Metastases by PSMA-PET/CT-Evaluation of 335 Men with Treatment-Naïve Prostate Carcinoma
Stefan A Koerber, Johannes Boesch, Clemens Kratochwil, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
May 13, 2017
Diagnostic performance of <sup>68</sup>Ga-PSMA-11 (HBED-CC) PET/CT in patients with recurrent prostate cancer: evaluation in 1007 patients
Ali Afshar-Oromieh, Tim Holland-Letz, Frederik L Giesel, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
June 29, 2017
Erratum to: Diagnostic performance of <sup>68</sup>Ga-PSMA-11 (HBED-CC) PET/CT in patients with recurrent prostate cancer: evaluation in 1007 patients
Ali Afshar-Oromieh, Tim Holland-Letz, Frederik L Giesel, et al.
European Journal of Cancer (Oxford, England : 1990)
|
September 14, 2019
Superior skin cancer classification by the combination of human and artificial intelligence
Achim Hekler, Jochen S Utikal, Alexander H Enk, et al.
Journal for Immunotherapy of Cancer
|
December 7, 2019
Tumor microenvironment-derived S100A8/A9 is a novel prognostic biomarker for advanced melanoma patients and during immunotherapy with anti-PD-1 antibodies
Nikolaus B Wagner, Benjamin Weide, Mirko Gries, et al.
International Journal of Cancer
|
May 29, 2015
Diminished levels of the soluble form of RAGE are related to poor survival in malignant melanoma
Nikolaus B Wagner, Benjamin Weide, Maike Reith, et al.
NPJ Precision Oncology
|
September 26, 2023
Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning
Julia Höhn, Eva Krieghoff-Henning, Christoph Wies, et al.
European Journal of Cancer (Oxford, England : 1990)
|
October 14, 2021
Deep learning can predict lymph node status directly from histology in colorectal cancer
Lennard Kiehl, Sara Kuntz, Julia Höhn, et al.
British Journal of Cancer
|
June 28, 2024
Synergy of retinoic acid and BH3 mimetics in MYC(N)-driven embryonal nervous system tumours
Till Seiboldt, Constantia Zeiser, Duy Nguyen, et al.
Nature Biotechnology
|
April 24, 2013
Identification of a population of blood circulating tumor cells from breast cancer patients that initiates metastasis in a xenograft assay
Irène Baccelli, Andreas Schneeweiss, Sabine Riethdorf, et al.
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Search research articles
Search
Showing results (91-100 of 119) with videos related to
Sort By:
Page
of 12
Cancers
|
April 3, 2021
Predicting the Risk of Metastases by PSMA-PET/CT-Evaluation of 335 Men with Treatment-Naïve Prostate Carcinoma
Stefan A Koerber, Johannes Boesch, Clemens Kratochwil, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
May 13, 2017
Diagnostic performance of <sup>68</sup>Ga-PSMA-11 (HBED-CC) PET/CT in patients with recurrent prostate cancer: evaluation in 1007 patients
Ali Afshar-Oromieh, Tim Holland-Letz, Frederik L Giesel, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
June 29, 2017
Erratum to: Diagnostic performance of <sup>68</sup>Ga-PSMA-11 (HBED-CC) PET/CT in patients with recurrent prostate cancer: evaluation in 1007 patients
Ali Afshar-Oromieh, Tim Holland-Letz, Frederik L Giesel, et al.
European Journal of Cancer (Oxford, England : 1990)
|
September 14, 2019
Superior skin cancer classification by the combination of human and artificial intelligence
Achim Hekler, Jochen S Utikal, Alexander H Enk, et al.
Journal for Immunotherapy of Cancer
|
December 7, 2019
Tumor microenvironment-derived S100A8/A9 is a novel prognostic biomarker for advanced melanoma patients and during immunotherapy with anti-PD-1 antibodies
Nikolaus B Wagner, Benjamin Weide, Mirko Gries, et al.
International Journal of Cancer
|
May 29, 2015
Diminished levels of the soluble form of RAGE are related to poor survival in malignant melanoma
Nikolaus B Wagner, Benjamin Weide, Maike Reith, et al.
NPJ Precision Oncology
|
September 26, 2023
Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning
Julia Höhn, Eva Krieghoff-Henning, Christoph Wies, et al.
European Journal of Cancer (Oxford, England : 1990)
|
October 14, 2021
Deep learning can predict lymph node status directly from histology in colorectal cancer
Lennard Kiehl, Sara Kuntz, Julia Höhn, et al.
British Journal of Cancer
|
June 28, 2024
Synergy of retinoic acid and BH3 mimetics in MYC(N)-driven embryonal nervous system tumours
Till Seiboldt, Constantia Zeiser, Duy Nguyen, et al.
Nature Biotechnology
|
April 24, 2013
Identification of a population of blood circulating tumor cells from breast cancer patients that initiates metastasis in a xenograft assay
Irène Baccelli, Andreas Schneeweiss, Sabine Riethdorf, et al.
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