Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Magnus Dustler

Lund University

Sweden

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

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

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Collaborators (10)

Nina Reistad

Lund University

SWEDEN

View details

Anders Tingberg

Medical Physicist

Skåne University Hospital

SWEDEN

View details

Magnus Båth

Karolinska University Hospital

SWEDEN

View details

Ida Skarping

MD, Associate Professor

Lund University

SWEDEN

View details

Lisa Rydén

Professor Surgery

Umeå Universitet Medicinska fakulteten

SWEDEN

View details

Kim Gulis

Lund University

SWEDEN

View details

Peter Bernhardt

Professor

University of Gothenburg

SWEDEN

View details

Hanna Isaksson

Professor

Lund University

SWEDEN

View details

Eric O. Aboagye

Imperial College London

UNITED KINGDOM

View details

Christopher Rääf

University lecturer

Lund University

SWEDEN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Magnus Dustler

Research Interests

Make your next move.

Explore related searches

Articles (20)

Optimisation in X-ray and molecular imaging 2025—editorial

Comparison between the results of simulated mechanical imaging on software breast phantom and in vivo measurements

DBTMI Database Characterization and Artifacts Reduction

Annotation and characterization of lesions in breast tomosynthesis images

Assessing the robustness of AI lesion risk scores at different exposure settings using an anthropomorphic breast phantom

Breast implants in mammograph and screening—a question requiring attention

Towards Improved Control of Breast Density in Simulated Mammograms via Perlin Noise Parameterization

Characterization of optically stimulated luminescence dosimetry using NaCl pellets in breast x-ray imaging

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer

Characterization of tumour-like inclusions in breast-mimicking phantoms using ultrasound optical tomography

Potential Clinical Applications of Ultrasound Optical Tomography

A framework for simulation of temporal evolution and longitudinal studies of breast anatomy in radiology

Investigating the effect of adding comparisons with prior mammograms to standalone digital breast tomosynthesis screening

Workload reduction of digital breast tomosynthesis screening using artificial intelligence and synthetic mammography

Methodology to simulate temporal changes in breast tumors and parenchyma using Perlin noise

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

Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study

Artificial intelligence in women's cancers

Health Technologies and Impermissible Delays: The Case of Digital Breast Tomosynthesis

Comparing synthetic mammograms based on wide-angle digital breast tomosynthesis with digital mammograms

Collaborators (10)

Nina Reistad

Anders Tingberg

Magnus Båth

Ida Skarping

Lisa Rydén

Kim Gulis

Peter Bernhardt

Hanna Isaksson

Eric O. Aboagye

Christopher Rääf

Make your next move.