Andreas Kleppe

University Name

Norway

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Articles (20)

Prognostic value of tertiary lymphoid structures in molecular subgroups of endometrial carcinoma

Year:

2025

Impact of molecular profile on prognosis and relapse pattern in low and intermediate risk endometrial cancer.

Year:

2024

Guidelines for study protocols describing predefined validations of prediction models in medical deep learning and beyond

Year:

2024

Real-world outcomes in molecular subgroups for patients with advanced or recurrent endometrial cancer treated with platinum-based chemotherapy.

Year:

2024

Prognostic and therapeutic implication of molecular classification including L1CAM expression in high-risk endometrial cancer.

Year:

2024

DNA ploidy and PTEN as biomarkers for predicting aggressive disease in prostate cancer patients under active surveillance.

Year:

2024

Patient-reported nausea after implementation of an enhanced recovery after surgery protocol for gynae-oncology patients

Year:

2023

Personalizing adjuvant therapy for patients with colorectal cancer.

Year:

2023

Prospective evaluation of an enhanced recovery after surgery (ERAS) pathway in a Norwegian cohort of patients with suspected or advanced ovarian cancer.

Year:

2023

Common Limitations of Image Processing Metrics: A Picture Story

Year:

2023

A clinical decision support system optimising adjuvant chemotherapy for colorectal cancers by integrating deep learning and pathological staging markers: a development and validation study.

Year:

2022

Area under the curve may hide poor generalisation to external datasets.

Year:

2022

PTEN and DNA Ploidy Status by Machine Learning in Prostate Cancer

Year:

2021

Immune checkpoint B7-H3 protein expression is associated with poor outcome and androgen receptor status in prostate cancer.

Year:

2021

Long-term oncological outcomes and recurrence patterns in early-stage cervical cancer treated with minimally invasive versus abdominal radical hysterectomy: The Norwegian Radium Hospital experience.

Year:

2021

Deep learning and cancer biomarkers: recognising lead-time bias - Authors' reply.

Year:

2021

Designing deep learning studies in cancer diagnostics.

Year:

2021

Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

Year:

2020

Prognostic Value of the Diversity of Nuclear Chromatin Compartments in Gynaecological Carcinomas

Year:

2020

Deep learning for prediction of colorectal cancer outcome: a discovery and validation study.

Year:

2020

Collaborators (3)

Enric Domingo

University of Oxford

UNITED KINGDOM

Line K. Bragstad

Professor

OsloMet – Oslo Metropolitan University

NORWAY

David Kerr

Professor of Cancer Medicine

University of Oxford

UNITED KINGDOM

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