会议文集


文集名Deep Generative Models
会议名3rd Workshop on Deep Generative Models for Medical Image Computing and Computer Assisted Intervention (DGM4MICCAI 2023), Held in Conjunction with MICCAI 2023
中译名《第三届医学图像计算和计算机辅助干预的深度生成模型讨论会》
会议日期October 8, 2023
会议地点Vancouver, BC, Canada
出版年2024
馆藏号351830


题名作者出版年
Privacy Distillation: Reducing Re-identification Risk of Diffusion ModelsVirginia Fernandez; Pedro Sanchez; Walter Hugo Lopez Pinaya; Grzegorz Jacenkow; Sotirios A. Tsaftaris; M. Jorge Cardoso2024
Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template LearningJia Ji; Islem Rekik2024
Metrics to Quantify Global Consistency in Synthetic Medical ImagesDaniel Scholz; Benedikt Wiestler; Daniel Rueckert; Martin J. Menten2024
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical ImagesSergio Naval Marimont; Vasilis Siomos; Giacomo Tarroni2024
Towards Generalised Neural Implicit Representations for Image RegistrationVeronika A. Zimmer; Kerstin Hammernik; Vasiliki Sideri-Lampretsa; Wenqi Huang; Anna Reithmeir; Daniel Rueckert; Julia A. Schnabel2024
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image SynthesisSalman Ul Hassan Dar; Arman Ghanaat; Jannik Kahmann; Isabelle Ayx; Theano Papavassiliu; Stefan O. Schoenberg; Sandy Engelhardt2024
ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image AnalysisXuan Xu; Saarthak Kapse; Rajarsi Gupta; Prateek Prasanna2024
Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information RenderingVamshi Vardhan Yadagiri; Sekhar Reddy; Angshuman Paul2024
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass SegmentationYunguan Fu; Yiwen Li; Shaheer U. Saeed; Matthew J. Clarkson; Yipeng Hu2024
Diffusion-Based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic ImagesMohamed Akrout; Balint Gyepesi; Peter Hollo; Adrienn Poor; Blaga Kincso; Stephen Solis; Katrina Cirone; Jeremy Kawahara; Dekker Slade; Latif Abid; Mate Kovacs; Istvan Fazekas2024
Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based ApproachesRavi Hassanaly; Camille Brianceau; Olivier Colliot; Ninon Burgos2024
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic ModelCagla Deniz Bahadir; Benjamin Liechty; David J. Pisapia; Mert R. Sabuncu2024
A 3D Generative Model of Pathological Multi-modal MR Images and SegmentationsVirginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Mark S. Graham; Tom Vercauteren; M. Jorge Cardoso2024
Rethinking a Unified Generative Adversarial Model for MRI Modality CompletionYixiao Yuan; Yawen Huang; Yi Zhou2024
Diffusion Models for Generative HistopathologyNiranjan Sridhar; Michael Elad; Carson McNeil; Ehud Rivlin; Daniel Freedman2024
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain VasculatureYash Deo; Haoran Dou; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila2024
Pre-training with Diffusion Models for Dental Radiography SegmentationJeremy Rousseau; Christian Alaka; Emma Covili; Hippolyte Mayard; Laura Misrachi; Willy Au2024
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-SpaceVeronika Spieker; Wenqi Huang; Hannah Eichhorn; Jonathan Stelter; Kilian Weiss; Veronika A. Zimmer; Rickmer F. Braren; Dimitrios G. Karampinos; Kerstin Hammernik; Julia A. Schnabel2024
Ultrasound Image Reconstruction with Denoising Diffusion Restoration ModelsYuxin Zhang; Clement Huneau; Jerome Idier; Diana Mateus2024
Diffusion Model Based Knee Cartilage Segmentation in MRIVeerasravanthi Mudiyam; Ayantika Das; Keerthi Ram; Mohanasankar Sivaprakasam2024
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