MedGIFT
Onderwerp: Lundin
|
-Geen omschrijving- Sub-onderwerpen: |
|
Alle publicaties voor onderwerp "Lundin"
2026
| , , , , , , , , , , , , en , A radiomics-based analysis of functional dopaminergic scintigraphic imaging for the diagnosis of dementia with Lewy bodies (2026), in: Neurodegenerative Diseases, 26:1 |
[DOI] [URL] |
| , , , , , , en , AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery, in: Learning with Longitudinal Medical Images and Data at MICCAI 2025, pagina's 102-112, Springer Nature Switzerland, 2026 |
[DOI] [URL] |
| , , , , , en , Dynamic Modeling of Brain Metastasis Response with Multitask Temporal Learning, in: Medical Image AI in Radiation Therapy (MIART) at MICCAI 2026, 2026 |
|
| , , , , , , , , en , Fully Automatic Left Ventricle Segmentation in 82Rb PET/CT Using a Semi-Supervised nnU-Net (2026), in: EJNMMI Research |
|
| , , , , , , , , , , , en , Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multi-centric anthropomorphic phantom study (2026), in: Medical Physics, 53:3(e70374) |
|
| , , , en , Post-surgical detection of glioma recurrence using MRI radiomics (2026), in: Neuro-Oncology Advances, 8:1(vdag143) |
[DOI] [URL] |
2025
| , , , , , , en , The value of AI for assessing longitudinal brain metastases treatment response (2025), in: Neuro-Oncology Advances, 7:1 |
[URL] |
2024
| , , , , , , , , en , Automatic Detection and Multi-Component Segmentation of Brain Metastases in Longitudinal MRI (2024), in: Nature Scientic Reports, 14:1(1-10) |
|
| , , , , , , , , , en , Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction (2024), in: Nature Scientific Reports, 14:9644 |
[DOI] |