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ORCID3rd DGM4MICCAI/DALI@MICCAI 2023: Vancouver, BC, Canada
- Anirban Mukhopadhyay
, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan:
Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14533, Springer 2024, ISBN 978-3-031-53766-0
Methods
- Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, M. Jorge Cardoso:
Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. 3-13 - Jia Ji, Islem Rekik:
Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning. 14-24 - Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten:
Metrics to Quantify Global Consistency in Synthetic Medical Images. 25-34 - Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni:
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. 35-44 - Veronika A. Zimmer, Kerstin Hammernik, Vasiliki Sideri-Lampretsa, Wenqi Huang, Anna Reithmeir, Daniel Rueckert, Julia A. Schnabel:
Towards Generalised Neural Implicit Representations for Image Registration. 45-55 - Salman Ul Hassan Dar, Arman Ghanaat, Jannik Kahmann, Isabelle Ayx, Theano Papavassiliu, Stefan O. Schönberg, Sandy Engelhardt:
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis. 56-65 - Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna:
ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis. 66-76 - Vamshi Vardhan Yadagiri, Sekhar Reddy, Angshuman Paul:
Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering. 77-85 - Yunguan Fu, Yiwen Li, Shaheer U. Saeed, Matthew J. Clarkson, Yipeng Hu:
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation. 86-95
Applications
- Mohamed Akrout, Bálint Gyepesi, Péter Holló, Adrienn Poór, Blága Kincso, Stephen Solis, Katrina Cirone, Jeremy Kawahara, Dekker Slade, Latif Abid, Máté Kovács, István Fazekas:
Diffusion-Based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images. 99-109 - Ravi Hassanaly, Camille Brianceau, Olivier Colliot, Ninon Burgos:
Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches. 110-120 - Cagla Deniz Bahadir, Benjamin Liechty, David J. Pisapia, Mert R. Sabuncu:
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model. 121-131 - Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. 132-142 - Yixiao Yuan, Yawen Huang, Yi Zhou:
Rethinking a Unified Generative Adversarial Model for MRI Modality Completion. 143-153 - Niranjan Sridhar, Michael Elad, Carson McNeil, Ehud Rivlin, Daniel Freedman:
Diffusion Models for Generative Histopathology. 154-163 - Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. 164-173 - Jérémy Rousseau, Christian Alaka, Emma Covili, Hippolyte Mayard, Laura Misrachi, Willy Au:
Pre-training with Diffusion Models for Dental Radiography Segmentation. 174-182 - Veronika Spieker, Wenqi Huang, Hannah Eichhorn, Jonathan K. Stelter, Kilian Weiss, Veronika A. Zimmer, Rickmer F. Braren, Dimitrios C. Karampinos, Kerstin Hammernik, Julia A. Schnabel:
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. 183-192 - Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus:
Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models. 193-203 - Veerasravanthi Mudiyam, Ayantika Das, Keerthi Ram, Mohanasankar Sivaprakasam:
Diffusion Model Based Knee Cartilage Segmentation in MRI. 204-213 - Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers:
Semantic Image Synthesis for Abdominal CT. 214-224 - Yiran Sun, Tucker J. Netherton, Laurence E. Court, Ashok Veeraraghavan, Guha Balakrishnan:
CT Reconstruction from Few Planar X-Rays with Application Towards Low-Resource Radiotherapy. 225-234 - Kyungryun Lee, Won-Ki Jeong:
Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models. 235-245
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