default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDGM4MICCAI@MICCAI 2022: Singapore
- Anirban Mukhopadhyay
, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan:
Deep Generative Models - Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13609, Springer 2022, ISBN 978-3-031-18575-5
Methods
- Siyuan Dong, Gilbert Hangel, Eric Z. Chen, Shanhui Sun, Wolfgang Bogner, Georg Widhalm, Chenyu You, John A. Onofrey, Robin A. de Graaf, James S. Duncan:
Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging. 3-13 - Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. 14-23 - Julian Schön, Raghavendra Selvan, Jens Petersen:
Interpreting Latent Spaces of Generative Models for Medical Images Using Unsupervised Methods. 24-33 - Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. 34-44 - Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann:
Learning Generative Factors of EEG Data with Variational Auto-Encoders. 45-54 - Clément Chadebec, Evi M. C. Huijben, Josien P. W. Pluim, Stéphanie Allassonnière, Maureen A. J. M. van Eijnatten:
An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories. 55-64
Applications
- Mana Masuda, Hideo Saito, Yoshifumi Takatsume, Hiroki Kajita:
Novel View Synthesis for Surgical Recording. 67-76 - Marc Dietrichstein, David Major, Martin Trapp, Maria Wimmer, Dimitrios Lenis, Philip Winter, Astrid Berg, Theresa Neubauer, Katja Bühler:
Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans. 77-86 - Roger Trullo, Quoc Anh Bui, Qi Tang, Reza Olfati-Saber:
Image Translation Based Nuclei Segmentation for Immunohistochemistry Images. 87-96 - Daniel Mensing, Jochen G. Hirsch, Markus Wenzel, Matthias Günther:
3D (c)GAN for Whole Body MR Synthesis. 97-105 - Ashkan Pakzad, Mou-Cheng Xu, Wing Keung Cheung, Marie Vermant, Tinne Goos, Laurens J. De Sadeleer, Stijn E. Verleden, Wim A. Wuyts, John R. Hurst, Joseph Jacob:
Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis. 106-116 - Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Brain Imaging Generation with Latent Diffusion Models. 117-126
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-08-11 22:57 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
