672 citations
- KU LeuvenBE18 papers
- University College LondonGB5 papers
- Icometrix (Belgium)BE3 papers
- Imperial College LondonGB3 papers
- King's College LondonGB3 papers
- Wellcome / EPSRC Centre for Interventional and Surgical SciencesGB3 papers
- The University of Western AustraliaAU2 papers
- Acibadem City ClinicBG1 paper
- Amsterdam UMC Location University of AmsterdamNL1 paper
- Amsterdam University Medical CentersNL1 paper
- AZ DeltaBE1 paper
- AZ GroeningeBE1 paper
24 papers
Multicenter Comparison of Radionuclide Calibrators and SPECT/CT Protocols for Quantitative 177Lu Imaging in Clinical Practice
Wies Claeys, Kristof Baete, Laurence Beels +8
Purpose: Following the clinical success of 177Lu-based therapies, accurate quantification of 177Lu using radionuclide calibrators (RNCs) and SPECT/CT is gaining importance as prere…
Towards personalised assessment of abdominal aortic aneurysm structural integrity
Mostafa Jamshidian, Adam Wittek, Saeideh Sekhavat +13
Abdominal aortic aneurysm (AAA) is a life-threatening condition characterized by the progressive dilation of the aorta, which can lead to rupture if undetected or untreated. Stress…
Otago Exercises Monitoring for Older Adults by a Single IMU and Hierarchical Machine Learning Models
Meng Shang, Lenore Dedeyne, Jolan Dupont +8
Otago Exercise Program (OEP) is a rehabilitation program for older adults to improve frailty, sarcopenia, and balance. Accurate monitoring of patient involvement in OEP is challeng…
Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging
Tommaso Giannantonio, Anna Alperovich, Piercosimo Semeraro +9
Surgery for gliomas (intrinsic brain tumors), especially when low-grade, is challenging due to the infiltrative nature of the lesion. Currently, no real-time, intra-operative, labe…
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
Jeroen Bertels, David Robben, Dirk Vandermeulen +1
The clinical interest is often to measure the volume of a structure, which is typically derived from a segmentation. In order to evaluate and compare segmentation methods, the simi…
The Dice loss in the context of missing or empty labels: Introducing and
Sofie Tilborghs, Jeroen Bertels, David Robben +2
Albeit the Dice loss is one of the dominant loss functions in medical image segmentation, most research omits a closer look at its derivative, i.e. the real motor of the optimizati…