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Manohar Pradhan

Showing results (31-40 of 40) with videos related to

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Cancers|September 10, 2021
PTEN and DNA Ploidy Status by Machine Learning in Prostate CancerKarolina Cyll, Andreas Kleppe, Joakim Kalsnes, et al.
Heliyon|July 23, 2024
Deep learning for automated scoring of immunohistochemically stained tumour tissue sections - Validation across tumour types based on patient outcomesWanja Kildal, Karolina Cyll, Joakim Kalsnes, et al.
Nature Communications|October 15, 2024
Targeting IRE1α reprograms the tumor microenvironment and enhances anti-tumor immunity in prostate cancerBilal Unal, Omer Faruk Kuzu, Yang Jin, et al.
The Lancet. Oncology|February 7, 2018
Chromatin organisation and cancer prognosis: a pan-cancer studyAndreas Kleppe, Fritz Albregtsen, Ljiljana Vlatkovic, et al.
Oncogene|July 18, 2019
Regulation of the unfolded protein response through ATF4 and FAM129A in prostate cancerNora Pällmann, Marte Livgård, Martina Tesikova, et al.
Lancet (London, England)|February 3, 2020
Deep learning for prediction of colorectal cancer outcome: a discovery and validation studyOle-Johan Skrede, Sepp De Raedt, Andreas Kleppe, et al.
Eclinicalmedicine|March 20, 2026
Reliable classification of polyps based on artificial intelligence: a development and validation studyFrida M I Julbø, Audun L Henriksen, Manohar Pradhan, et al.
NPJ Precision Oncology|February 3, 2026
Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer typesOle-Johan Skrede, Manohar Pradhan, Maria Xepapadakis Isaksen, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|September 3, 2016
Changes in Chromatin Structure in Curettage Specimens Identifies High-Risk Patients in Endometrial CancerTarjei S Hveem, Tormund S Njølstad, Birgitte Nielsen, et al.
FEBS Open Bio|February 12, 2026
Applicability of mitotic figure counting by deep learning: a development and pan-cancer validation studyJoakim Kalsnes, Maria X Isaksen, Frida Julbø, et al.
Pageof 4

Showing results (31-40 of 40) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 40 results.
Cancers|September 10, 2021
PTEN and DNA Ploidy Status by Machine Learning in Prostate CancerKarolina Cyll, Andreas Kleppe, Joakim Kalsnes, et al.
Heliyon|July 23, 2024
Deep learning for automated scoring of immunohistochemically stained tumour tissue sections - Validation across tumour types based on patient outcomesWanja Kildal, Karolina Cyll, Joakim Kalsnes, et al.
Nature Communications|October 15, 2024
Targeting IRE1α reprograms the tumor microenvironment and enhances anti-tumor immunity in prostate cancerBilal Unal, Omer Faruk Kuzu, Yang Jin, et al.
The Lancet. Oncology|February 7, 2018
Chromatin organisation and cancer prognosis: a pan-cancer studyAndreas Kleppe, Fritz Albregtsen, Ljiljana Vlatkovic, et al.
Oncogene|July 18, 2019
Regulation of the unfolded protein response through ATF4 and FAM129A in prostate cancerNora Pällmann, Marte Livgård, Martina Tesikova, et al.
Lancet (London, England)|February 3, 2020
Deep learning for prediction of colorectal cancer outcome: a discovery and validation studyOle-Johan Skrede, Sepp De Raedt, Andreas Kleppe, et al.
Eclinicalmedicine|March 20, 2026
Reliable classification of polyps based on artificial intelligence: a development and validation studyFrida M I Julbø, Audun L Henriksen, Manohar Pradhan, et al.
NPJ Precision Oncology|February 3, 2026
Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer typesOle-Johan Skrede, Manohar Pradhan, Maria Xepapadakis Isaksen, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|September 3, 2016
Changes in Chromatin Structure in Curettage Specimens Identifies High-Risk Patients in Endometrial CancerTarjei S Hveem, Tormund S Njølstad, Birgitte Nielsen, et al.
FEBS Open Bio|February 12, 2026
Applicability of mitotic figure counting by deep learning: a development and pan-cancer validation studyJoakim Kalsnes, Maria X Isaksen, Frida Julbø, et al.
Pageof 4