Anatomy-driven automated subsegmentation of pelvic and proximal femoral CT into clinically relevant subregions and landmarks
Mohammed Rashed, Hatem Alabdulrahman, Simon Westfechtel, Frank Hildebrand et autres
0 citationsBMC Medical Imaging
Daniel Truhn
Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.
472Publications signalées
8375Citations signalées
3Affiliations récentes
Institutions déclarées
Domaines associés
Radiomics and Machine Learning in Medical ImagingAI in cancer detectionArtificial Intelligence in Healthcare and EducationOsteoarthritis Treatment and MechanismsCOVID-19 diagnosis using AI
Publications récentes
Figure S13 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
Figure 2 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
Figure S7 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
Figure S5 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
Figure 4 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
Figure 6 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
Figure S8 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
Figure S11 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
Table 1 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
Figure 7 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
Figure S2 from Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam et autres
0 citations
BNTIC News n’est pas le producteur de ces données. Recherche à la demande dans Crossref et Europe PMC, sans clé ; OpenAlex reste optionnel. Aucun service payant requis, aucune réponse conservée. Sources et limites.