DGM4MICCAI

Publications

volume 14533, 2024

Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings DGM4MICCAI 14533 (2024)

2023

Vamshi Vardhan Yadagiri, Sekhar Reddy, Angshuman Paul
Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering. DGM4MICCAI (2023)
Cagla Deniz Bahadir, Benjamin Liechty, David J. Pisapia, Mert R. Sabuncu
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model. DGM4MICCAI (2023)
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. DGM4MICCAI (2023)
Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis. DGM4MICCAI (2023)
Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. DGM4MICCAI (2023)
Jia Ji, Islem Rekik
Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning. DGM4MICCAI (2023)
Kyungryun Lee, Won-Ki Jeong
Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models. DGM4MICCAI (2023)
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. DGM4MICCAI (2023)
Yixiao Yuan, Yawen Huang, Yi Zhou
Rethinking a Unified Generative Adversarial Model for MRI Modality Completion. DGM4MICCAI (2023)
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. DGM4MICCAI (2023)
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. DGM4MICCAI (2023)
Niranjan Sridhar, Michael Elad, Carson McNeil, Ehud Rivlin, Daniel Freedman
Diffusion Models for Generative Histopathology. DGM4MICCAI (2023)
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. DGM4MICCAI (2023)
Jérémy Rousseau, Christian Alaka, Emma Covili, Hippolyte Mayard, Laura Misrachi, Willy Au
Pre-training with Diffusion Models for Dental Radiography Segmentation. DGM4MICCAI (2023)
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. DGM4MICCAI (2023)
Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. DGM4MICCAI (2023)
Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
Semantic Image Synthesis for Abdominal CT. DGM4MICCAI (2023)
Veerasravanthi Mudiyam, Ayantika Das, Keerthi Ram, Mohanasankar Sivaprakasam
Diffusion Model Based Knee Cartilage Segmentation in MRI. DGM4MICCAI (2023)
Ravi Hassanaly, Camille Brianceau, Olivier Colliot, Ninon Burgos
Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches. DGM4MICCAI (2023)
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. DGM4MICCAI (2023)
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. DGM4MICCAI (2023)
Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus
Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models. DGM4MICCAI (2023)
Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten
Metrics to Quantify Global Consistency in Synthetic Medical Images. DGM4MICCAI (2023)