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Ida Skarping

MD, Associate Professor

Lund University

Sweden

Research Interests

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Professors in Sweden Professors in Medical Imaging Medical Imaging professors in Sweden

Articles (16)

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2026

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

Collaborators (9)

Johan Vallon-Christersson

Lund University

SWEDEN

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Ellen Tufvesson

SWEDEN

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Signe Borgquist

Aarhus University

DENMARK

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Magnus Dustler

Lund University

SWEDEN

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Lisa Rydén

Professor Surgery

Umeå Universitet Medicinska fakulteten

SWEDEN

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Kim Gulis

Lund University

SWEDEN

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Peer Christiansen

Professor

Aarhus University Hospital

DENMARK

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Mattias Ohlsson

Professor

Lund University Samhällsvetenskapliga fakulteten

SWEDEN

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Jana de Boniface

Professor

Karolinska Institutet

SWEDEN

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Ida Skarping

Research Interests

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Articles (16)

Human factors validation study of an artificial neural network‑based preoperative decision‑support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN99301435)

Mild hyperventilation with preserved exercise capacity in patients with self-reported long-term dyspnea after COVID-19—a prospective cohort study in a primary healthcare setting

RECIST 1.1 and PERCIST for response assessment in metastatic breast cancer: feasibility and agreement in a real‑world retrospective cohort study

Residual radiopharmaceutical activity in venous access devices during PET and SPECT imaging: a real-world clinical observational cohort study

Heterogeneous treatment response in metastatic breast cancer: discordance between FDG-PET and CT classification

Prediction of sentinel lymph node status in patients with early breast cancer using breast imaging as an alternative to surgical staging—a systematic review and meta-analysis

A Call for Common Sense in the Use of Molecular Imaging

Overweight and Risk of Recurrence Following Neoadjuvant Chemotherapy in Breast Cancer

Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)

Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy

Prediction of High Nodal Burden in Patients With Sentinel Node-Positive Luminal ERBB2-Negative Breast Cancer.

18F-FDG-PET/CT in breast cancer imaging: Restaging and Implications for treatment decisions in a clinical practice setting

A prospective cohort study identifying radiologic and tumor related factors of importance for breast conserving surgery after neoadjuvant chemotherapy

Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development

Mammographic density in relation to breast cancer recurrence and survival in women receiving neoadjuvant chemotherapy

The implementation of NILS: A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer

Collaborators (9)

Johan Vallon-Christersson

Ellen Tufvesson

Signe Borgquist

Magnus Dustler

Lisa Rydén

Kim Gulis

Peer Christiansen

Mattias Ohlsson

Jana de Boniface

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