We warmly congratulate our doctoral candidates on their successful participation in the MICCAI –Conference 2025, Daejeon/ROK:
Markus Tiefenthaler: From Thresholds to Teachers: Correcting Unsupervised Learning for Arterial Calcifications in CTA
Matthias Schwab: Disagreement-driven uncertainty quantification in late Gadolinium enhancement cardiac MRI
Stefano Fogarollo: Implicit Deformable Medical Image Registration with Learnable Kernels
Adela Lukes: Ablate them all: A trajectory planning for concurrent percutaneous ablation of multiple tumors
Enrique Almar Munoz: Cine-CLIP: Reducing Cine-MRI Dimensionality with Temporal Variability for Left Ventricular Ejection Fraction Estimation
Best Paper Award 2025 (#Life Science PhD Meeting):
Taraneh Zavvar & Matthias Schwab
Radiopharmaceutical formulation and preliminary clinical dosimetry
of [177Lu]Lu‑DOTA‑MGS5 for application in peptide receptor radionuclide therapy, T. Zavvar
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images, M. Schwab
Publications:
Shape-aware inference scheme for selective extraction of head-neck arteries on computer tomography angiography images
2025 M. Tiefenthaler et al
Automatic trajectory planning for stereotactic radiofrequency ablation in non-discrete search space
2025 A. Lukes et al
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images
2025 M. Schwab et al
Deep Gaussian mixture model for unsupervised image segmentation
2025 M. Schwab et al
Radiopharmaceutical formulation and preliminary clinical dosimetry of [177Lu]Lu-DOTA-MGS5 for application in peptide receptor radionuclide therapy
2025 T. S. Zavvar et al
Uncertainty-Guided Active Learning for Access Route Segmentation and Planning in Transcatheter Aortic Valve Implantation.
2025 E. Almar Munoz et al
Beyond the Standards: Fully-Automated Aortic Annulus Segmentation on Contrast-Free Magnetic Resonance Imaging Using a Computational Aorta Unwrapping Method
2025 E. Almar Munoz et al
Multi-loss 3D Segmentation for Enhanced Bi-atrial Segmentation
2025 E. Almar Munoz et al
Confocal Raman Microscopy with Adaptive Optics
2025 J. D. Muñoz-Bolaños et al
A Lightweight Residual Network for Unsupervised Deformable Image Registration
2024 A. R. Siyal et al
Towards Fast and Accurate Non-rigid Liver Fusion
2024 S. Fogarollo et al
Comparison of Two Chelator Scaffolds as Basis for Cholecystokinin-2 Receptor Targeting Bimodal Imaging Probes
2024 G. Gariglio et al
Effectiveness of rTMS and tDCS treatment for chronic TBI symptoms: A systematic review and meta-analysis
2024 A. Galimberti et al
Towards liver segmentation in the wild via contrastive distillation
2023 S. Fogarollo et al
Effects of Side Chain and Peptide Bond Modifications on the Targeting Properties of Stabilized Minigastrin Analogs
2023 T. S. Zavvar et al
Annual Conference of the European Association of Nuclear Medicine- Impressions
