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20212026
most citedDiffusion Models for Implicit Image Segmentation Ensembles

71 citations · 182 across the 27 of their papers we have counts for

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Showing 2026 · cs.CVShow all

5 papers · 2 filters

cs.CV2026

Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement

Susanne Schaub, Florentin Bieder, Matheus L. Oliveira +5

Dental cone-beam computed tomography (CBCT) systems often employ detector configurations that provide a truncated field of view (FOV) that only captures a small part of the patient…

cs.CV2026

Modelling Geographic Atrophy Progression using Implicit Neural Representations

Simone Sarrocco, Paul Friedrich, Florentin Bieder +4

Age-related Macular Degeneration (AMD) is the major cause of blindness in the Western world. Its late dry phase is characterised by irreversible atrophic areas, namely Geographic A…

cs.CV2026

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning

Vincent Ochs, Christoph Kuemmerli, Florentin Bieder +12

Accurate determination of pancreatic ductal adenocarcinoma (PDAC) resectability relies on evaluating how the tumor interacts with major peripancreatic vessels on CT imaging, yet ex…

cs.CV2026

3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models

Susanne Schaub, Florentin Bieder, Matheus L. Oliveira +4

Cone-beam computed tomography (CBCT) is a widely used 3D imaging technique in dentistry, offering high-resolution images while minimising radiation exposure for patients. However,…

cs.CV2026

AutoFFS: Adversarial Deformations for Facial Feminization Surgery Planning

Paul Friedrich, Florentin Bieder, Florian M. Thieringer +1

Facial feminization surgery (FFS) is a key component of gender affirmation for transgender and gender diverse patients, aiming to reshape craniofacial structures toward a female mo…