Deep generative models : third MICCAI workshop, DGM4MICCAI 2023 : held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings

Deep generative models third MICCAI workshop, DGM4MICCAI 2023 : held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings

Methods.- Applications.- Methodology. Causal inference. Latent interpretation. Generative factor analysis.- Mammography. Vessel imaging.- Surgical Videos.

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Bibliographische Detailangaben
Körperschaft: DGM4MICCAI (VerfasserIn)
Weitere Verfasser: Mukhopadhyay, Anirban (HerausgeberIn), Oksuz, Ilkay (HerausgeberIn), Engelhardt, Sandy (HerausgeberIn), Zhu, Dajiang (HerausgeberIn), Yuan, Yixuan (HerausgeberIn)
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Sprache:eng
Veröffentlicht: Cham Springer 2024
Schriftenreihe:Lecture notes in computer science 14533
Schlagworte:
Angewandte Informatik > COM094000 > COMPUTERS / Computer Science > COMPUTERS / Computer Vision & Pattern Recognition > Computer vision > EDU029090 > EDUCATION / Computers & Technology > Educational equipment & technology, computer-aided learning (CAL) > Information technology: general issues > Lehrmittel, Lerntechnologien, E-Learning > Machine learning > Maschinelles Lernen > Maschinelles Sehen, Bildverstehen > Konferenzschrift
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Titel Jahr Verfasser
Metrics to Quantify Global Consistency in Synthetic Medical Images 2024 Scholz, Daniel
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images 2024 Marimont, Sergio Naval
Towards Generalised Neural Implicit Representations for Image Registration 2024 Zimmer, Veronika A.
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis 2024 Dar, Salman Ul Hassan
Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models 2024 Zhang, Yuxin
Semantic Image Synthesis for Abdominal CT 2024 Zhuang, Yan
Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning 2024 Ji, Jia
Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering 2024 Yadagiri, Vamshi Vardhan
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature 2024 Deo, Yash
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space 2024 Spieker, Veronika
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation 2024 Fu, Yunguan
Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches 2024 Hassanaly, Ravi
Diffusion-Based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images 2024 Akrout, Mohamed
A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations 2024 Fernandez, Virginia
Privacy Distillation: Reducing Re-identification Risk of Diffusion Models 2024 Fernandez, Virginia
ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis 2024 Xu, Xuan
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model 2024 Bahadir, Cagla Deniz
Rethinking a Unified Generative Adversarial Model for MRI Modality Completion 2024 Yuan, Yixiao
Diffusion Models for Generative Histopathology 2024 Sridhar, Niranjan
Pre-training with Diffusion Models for Dental Radiography Segmentation 2024 Rousseau, Jérémy
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