Dow-Mu Koh

Professor in Functional Cancer Imaging

Royal Marsden Hospital Sutton

United Kingdom

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Articles (11)

Year:

2024

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2022

Year:

2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (5)

Scott Shepherd

The Francis Crick Institute

UNITED KINGDOM

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Andrea Rockall

Imperial College London

UNITED KINGDOM

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Marc Miquel

Head of Magnetic Resonance and Non-Ionising Radiation Physics

Guy's and St Thomas' NHS Foundation Trust

UNITED KINGDOM

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Nishat Bharwani

Honorary Clinical Senior Lecturer

Imperial College London

UNITED KINGDOM

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Paul Bates

Head of Biomolecular Modelling Laboratory

The Francis Crick Institute

UNITED KINGDOM

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Dow-Mu Koh

Research Interests

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Articles (11)

Radiomics Beyond the Hype: A Critical Evaluation Toward Oncologic Clinical Use

Artificial intelligence and machine learning in cancer imaging

Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRI

Diagnostic Accuracy of FEC-PET/CT, FDG-PET/CT, and Diffusion-Weighted MRI in Detection of Nodal Metastases in Surgically Treated Endometrial and Cervical Carcinoma

DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases.

Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study.

Early Response to Chemotherapy in Malignant Pleural Mesothelioma Evaluated Using Diffusion-Weighted Magnetic Resonance Imaging: Initial Observations.

Whole-body diffusion-weighted MRI of normal lymph nodes: prospective apparent diffusion coefficient histogram and nodal distribution analysis in a healthy cohort.

Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges.

Radiomics in Oncology: A Practical Guide.

Imaging features of the evolving patterns of metastatic prostate cancer.

Collaborators (5)

Scott Shepherd

Andrea Rockall

Marc Miquel

Nishat Bharwani

Paul Bates

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