| 13:30 - 13:35 | | Welcome + opening remarks |
| 13:35 - 14:00 | | Two SASHIMI orals (10 + 2 min) |
| | Self-Supervised Super-Resolution for Anisotropic MR Images with and without Slice Gap (poster,code) |
| | Remedios, Han, Zuo, Carass, Pham, Prince, Dewey |
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| | Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis (poster) |
| | Zhang, Deng, Li |
| 14:00 - 14:15 | | SynthRAD challenge overview |
| 14:15 - 14:40 | | Three SynthRAD orals (10 + 2 min, 2x 5 + 1 min) |
| | A Hybrid Network with Multi-scale Structure Extraction and Preservation for MR-to-CT Synthesis in SynthRAD2023 (10+2 min) |
| | Zeli Chen, Kaiyi Zheng, Chuanpu Li, and Yiwen Zhang |
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| | Synthesis of CT images from MRI images based on nnU-Net (5+1 min) |
| | Haowen Pang, Chuyang Ye |
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| | A Self-Pretraining Paradigm For CBCT-CT Translation (5+1 min) |
| | Runqi Wang, Zheng Zhang, Ruizhi Hou, Lei Xiang, and Tao Song |
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| 14:40 - 15:20 | | 1-min poster highlights (9 SASHIMI + 20 SynthRAD) |
| | Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs (poster,code) |
| | Khader, Müller-Franzes, Han, Nebelung, Kuhl, Stegmaier, Truhn |
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| | Physics-Aware Motion Simulation for T2*-Weighted Brain MRI (code) |
| | Eichhorn, Hammernik, Spieker, Epp, Rueckert, Preibisch, Schnabel |
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| | TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction (code) |
| | Guo, Shi, Chen, Zhou, Liu, Xie, Liu, Palyo, Miller, Sinusas, Spottiswoode, Liu, Dvornek |
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| | Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach (poster) |
| | Tattersall, Goatman, Kershaw, Semple, Dahdouh |
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| | Synthetic Singleplex-Image Generation in Multiplex-Brightfield Immunohistochemistry Digital Pathology using Deep Generative Models |
| | Lorsakul, Martin, Landowski, Walker, Flores, Clements, Olson, Ferreri |
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| | DIFF·3: A latent diffusion model for the generation of synthetic 3D echocardiographic images and corresponding labels (poster,code) |
| | Ferdian, Zhao, Maso Talou, Quill, Legget, Doughty, Nash, Young |
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| | Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI (poster) |
| | Deo, Bonazzola, Dou, Xia, Wei, Ravikumar, Frangi, Lassila |
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| | How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound (code) |
| | Yu, Kulhare, Mehanian, Delahunt, Shea, Laverriere, Shah, Horning |
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| | Super-resolution Segmentation network for inner-ear tissue segmentation |
| | Liu, Fan, Lou, Noble |
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Image translation using ShuffleUNet (poster)
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Juhyung (Tony) Ha, Jong Sung Park
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Swin UNETR Based MRI-to-CT and CBCT-CT Synthesis (poster)
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Fuxin Fan, Jingna Qiu, Yixing Huang
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Paired MR-to-sCT Translation using Conditional GANs - an Application to MR-guided Radiotherapy (poster)
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Alexandra Alain-Beaudoin, Laurence Savard, Silvain Bériault
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Synthetic CT generation from CBCT images: Short Paper for SynthRAD 2023 (poster)
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Pengxin Yu
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Generate CT from CBCT using DDIM
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Gengwan Li, Xueru Zhang
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MR to CT Synthesis using U-net
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Hongbin Guo, Zhanyao Huang
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Team KoalAI: Locally-enhanced 3D Pix2Pix GAN for Synthetic CT Generation (poster)
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Bowen Xin, Aaron Nicolson, Hilda Chourak, Gregg Belous, Jason Dowling
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CT Synthesis with Modality-, Anatomy-, and Site-Specific Inference (poster)
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Yubo Fan, Han Liu, Ipek Oguz, and Benoit M. Dawant
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SynthDiffuson at SynthRAD 2023 Task 1: Synthesizing Computed Tomography for Radiotherapy (poster)
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Lujia Zhong, Zhiwei Deng, Shuo Huang, Wenhao Chi, Jianwei Zhang, Yonggang Shi
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Multi-Planar Convolutional Neural Networks for MRI and CBCT to CT Translation (poster)
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Gustav Muller-Franzes, Firas Khader, Daniel Truhn
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Conditional GAN is all you need for MR2CT (poster)
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Xia Li, Ye Zhang
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A Simple Two-stage network For MR-CT Translation
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Zhihao Zhang, Long Wang, Tao Song, and Lei Xiang
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Synthetic CT Generation from CBCT using MSG-GAN
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Lu Bai, Chenyu, Chenqi, Shaobin Wang, Yi Du
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SynthRAD 2023: Synthetic CT from MRI
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Derk Mus, Bram Kooiman, Rick Bergmans, Jara Linders
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Guiding Unsupervised MRI-to-CT and CBCT-to-CT synthesis using Content and style Representation by an Enhanced Perceptual synthesis (CREPs) loss (poster)
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Cedric Hemon, Valentin Boussot, Blanche Texier
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A multi-channel cycleGAN for CBCT to sCT generation (poster)
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Chelsea A. H. Sargeant, Edward G. A. Henderson, Dónal M. McSweeney, Aaron G. Rankin, Denis Page
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Synthesizing 3D computed tomography from MRI or CBCT using 2.5D deep neural networks
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Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa
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MR to CT translation using Generative Adversarial Networks (poster)
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Reza Karimzadeh, Bulat Ibragimov
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SynthRAD 2023 - MRI-to-sCT generation to facilitate MR-only Radiotherapy
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Thomas Helfer, Walter Hugo Lopez Pinaya, Francisco Pereira, Adam G. Thomas, Jessica Dafflon
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MRI-to-sCT and CBCT-to-sCT generation methods in SynthRAD2023
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Zijie Chen, Enpei Wang
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| 15:20 - 16:15 | | Coffee + joint poster session |
| 16:15 - 17:00 | | Keynote |
| 17:00 - 17:25 | | Two SASHIMI orals (10 + 2 min) |
| | Multi-Phase Liver-Specific DCE-MRI Translation via a Registration-Guided GAN (poster,code) |
| | Liu, Li, Shi, Zhou, Gao, Shi, Zhang, Zhuang |
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| | Unsupervised heteromodal physics-informed representation of MRI data: tackling data harmonisation, imputation and domain shift (poster) |
| | Borges, Fernandez, Tudosiu, Nachev, Ourselin, Cardoso |
| 17:25 - 17:30 | | Sponsor message |
| 17:30 - 17:35 | | Award + closing |
For all the papers, please upload poster highlight video and poster PDF before October 2.
Format: pdf, maximum file size 3 MB. We recommend A0 size with at least 32 font size, 72 DPI (3370 x 2384).
Physical poster in Portrait format. The maximum poster size for MICCAI 2023 is A0, (i.e. 841 x 1189 mm or 33.1 x 46.8 in) (Width x Height) portrait format. Please adhere to this format.
The talk will be 10+2 min, including Q&A. If you plan to attend SASHIMI virtually, please upload both slides and a 10 min recorded video (.mp4 format) before October 2. If you plan to attend SASHIMI in-person, please email us with the presenter's name and the paper ID/title. We still recommend you upload slides and video to us as a backup.
