• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 24 matches

• 2024
• 
  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 [contents]
• 2023
• 
  Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten:
  Metrics to Quantify Global Consistency in Synthetic Medical Images. DGM4MICCAI 2023: 25-34
• 
  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: 99-109
• 
  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: 121-131
• 
  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: 56-65
• 
  Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
  Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. DGM4MICCAI 2023: 164-173
• 
  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: 132-142
• 
  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: 3-13
• 
  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: 86-95
• 
  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: 110-120
• 
  Jia Ji, Islem Rekik:
  Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning. DGM4MICCAI 2023: 14-24
• 
  Kyungryun Lee, Won-Ki Jeong:
  Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models. DGM4MICCAI 2023: 235-245
• 
  Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni:
  MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. DGM4MICCAI 2023: 35-44
• 
  Veerasravanthi Mudiyam, Ayantika Das, Keerthi Ram, Mohanasankar Sivaprakasam:
  Diffusion Model Based Knee Cartilage Segmentation in MRI. DGM4MICCAI 2023: 204-213
• 
  Jérémy Rousseau, Christian Alaka, Emma Covili, Hippolyte Mayard, Laura Misrachi, Willy Au:
  Pre-training with Diffusion Models for Dental Radiography Segmentation. DGM4MICCAI 2023: 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. DGM4MICCAI 2023: 183-192
• 
  Niranjan Sridhar, Michael Elad, Carson McNeil, Ehud Rivlin, Daniel Freedman:
  Diffusion Models for Generative Histopathology. DGM4MICCAI 2023: 154-163
• 
  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: 225-234
• 
  Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna:
  ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis. DGM4MICCAI 2023: 66-76
• 
  Vamshi Vardhan Yadagiri, Sekhar Reddy, Angshuman Paul:
  Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering. DGM4MICCAI 2023: 77-85
• 
  Yixiao Yuan, Yawen Huang, Yi Zhou:
  Rethinking a Unified Generative Adversarial Model for MRI Modality Completion. DGM4MICCAI 2023: 143-153
• 
  Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus:
  Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models. DGM4MICCAI 2023: 193-203
• 
  Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers:
  Semantic Image Synthesis for Abdominal CT. DGM4MICCAI 2023: 214-224
• 
  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: 45-55