![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
5th SASHIMI@MICCAI 2020: Lima, Peru
- Ninon Burgos
, David Svoboda
, Jelmer M. Wolterink
, Can Zhao
:
Simulation and Synthesis in Medical Imaging - 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12417, Springer 2020, ISBN 978-3-030-59519-7 - Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy
:
Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. 1-10 - Filip Rusak, Rodrigo Santa Cruz, Pierrick Bourgeat
, Clinton Fookes, Jurgen Fripp, Andrew P. Bradley
, Olivier Salvado
:
3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps. 11-20 - Lianrui Zuo, Blake E. Dewey, Aaron Carass, Yufan He, Muhan Shao, Jacob C. Reinhold, Jerry L. Prince:
Synthesizing Realistic Brain MR Images with Noise Control. 21-31 - Pamela R. Jackson
, Andrea Hawkins-Daarud
, Kristin R. Swanson
:
Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth. 32-40 - José V. Manjón, José E. Romero, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Thomas Tourdias, Pierrick Coupé
:
Blind MRI Brain Lesion Inpainting Using Deep Learning. 41-49 - Hongyu Wang
, Jun Feng, Xiaoying Pan, Di Yang, Bao-ying Chen:
High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations. 50-59 - Reuben R. Shamir
, Ze'ev Bomzon
:
A Method for Tumor Treating Fields Fast Estimation. 60-67 - Yasmina Al Khalil, Sina Amirrajab
, Cristian Lorenz, Jürgen Weese, Marcel Breeuwer:
Heterogeneous Virtual Population of Simulated CMR Images for Improving the Generalization of Cardiac Segmentation Algorithms. 68-79 - Jingya Liu, Yingli Tian
, A. Muhtesem Agildere
, K. Murat Haberal, Mehmet Coskun, Cihan Duzgol, Oguz Akin:
DyeFreeNet: Deep Virtual Contrast CT Synthesis. 80-89 - Nicolas H. Nbonsou Tegang
, Jean-Rassaire Fouefack
, Bhushan Borotikar
, Valérie Burdin
, Tania S. Douglas
, Tinashe E. M. Mutsvangwa
:
A Gaussian Process Model Based Generative Framework for Data Augmentation of Multi-modal 3D Image Volumes. 90-100 - Zi Lin, Manli Zhong, Xiangzhu Zeng, Chuyang Ye:
Frequency-Selective Learning for CT to MR Synthesis. 101-109 - Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini
, Marc Modat
, David Atkinson
, Kris Thielemans
, Brian F. Hutton, Vicky Goh
, Gary J. Cook
, M. Jorge Cardoso
, Sébastien Ourselin
:
Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. 110-119 - María Escobar
, Angela Castillo, Andrés Romero, Pablo Arbeláez
:
UltraGAN: Ultrasound Enhancement Through Adversarial Generation. 120-130 - Georg Wimmer, Michael Gadermayr
, Andreas Vécsei, Andreas Uhl:
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. 131-141 - Wanyue Li, Yi He, Jing Wang, Wen Kong, Yiwei Chen, Guohua Shi:
An Unsupervised Adversarial Learning Approach to Fundus Fluorescein Angiography Image Synthesis for Leakage Detection. 142-152 - Manuel Traub
, Johannes Stegmaier
:
Towards Automatic Embryo Staging in 3D+t Microscopy Images Using Convolutional Neural Networks and PointNets. 153-163 - Srijay Deshpande
, Fayyaz A. Minhas
, Nasir M. Rajpoot
:
Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images. 164-173 - Dejan Stepec, Danijel Skocaj:
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis. 174-183 - Ziteng Liu, Ahmet Çakir, Jack H. Noble:
Auditory Nerve Fiber Health Estimation Using Patient Specific Cochlear Implant Stimulation Models. 184-194
![](https://dblp.org/img/cog.dark.24x24.png)
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.