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Publication search results
found 43 matches
- 2020
- Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair A. Young, Tommaso Mansi, Avan Suinesiaputra:
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12009, Springer 2020, ISBN 978-3-030-39073-0 [contents] - 2019
- Yashu Liu, Wei Wang, Kuanquan Wang, Chengqin Ye, Gongning Luo:
An Automatic Cardiac Segmentation Framework Based on Multi-sequence MR Image. STACOM@MICCAI 2019: 220-227 - Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert:
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. STACOM@MICCAI 2019: 209-219 - Jorge Corral Acero, Hao Xu, Ernesto Zacur, Jürgen E. Schneider, Pablo Lamata, Alfonso Bueno-Orovio, Vicente Grau:
Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation. STACOM@MICCAI 2019: 384-394 - Kobe Bamps, Stijn De Buck, Jeroen Bertels, Rik Willems, Christophe Garweg, Peter Haemers, Joris Ector:
DeepLA: Automated Segmentation of Left Atrium from Interventional 3D Rotational Angiography Using CNN. STACOM@MICCAI 2019: 138-146 - Oscar Camara:
Best (and Worst) Practices for Organizing a Challenge on Cardiac Biophysical Models During AI Summer: The CRT-EPiggy19 Challenge. STACOM@MICCAI 2019: 329-341 - Víctor M. Campello, Carlos Martín-Isla, Cristian Izquierdo, Steffen E. Petersen, Miguel Ángel González Ballester, Karim Lekadir:
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI. STACOM@MICCAI 2019: 290-299 - Nicolas Cedilnik, Maxime Sermesant:
Eikonal Model Personalisation Using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response. STACOM@MICCAI 2019: 364-372 - Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Multimodal Cardiac Segmentation Using Disentangled Representation Learning. STACOM@MICCAI 2019: 128-137 - Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation. STACOM@MICCAI 2019: 317-325 - Gaëtan Desrues, Hervé Delingette, Maxime Sermesant:
Towards Hyper-Reduction of Cardiac Models Using Poly-affine Transformations. STACOM@MICCAI 2019: 100-108 - Maxime Di Folco, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau:
Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension. STACOM@MICCAI 2019: 119-127 - Nils Gessert, Alexander Schlaefer:
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. STACOM@MICCAI 2019: 375-383 - Juan Francisco Gomez, Beatriz Trénor, Rafael Sebastián:
Prediction of CRT Activation Sequence by Personalization of Biventricular Models from Electroanatomical Maps. STACOM@MICCAI 2019: 342-351 - Vera H. J. van Hal, Debbie Zhao, Kathleen Gilbert, Thiranja P. Babarenda Gamage, Charlène Alice Mauger, Robert N. Doughty, Malcolm E. Legget, Jichao Zhao, Aaqel Nalar, Oscar Camara, Alistair A. Young, Vicky Y. Wang, Martyn P. Nash:
Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness. STACOM@MICCAI 2019: 52-62 - Kevin Jamart, Zhaohan Xiong, Gonzalo D. Maso Talou, Martin K. Stiles, Jichao Zhao:
Two-Stage 2D CNN for Automatic Atrial Segmentation from LGE-MRIs. STACOM@MICCAI 2019: 81-89 - Svyatoslav Khamzin, Arsenii Dokuchaev, Olga Solovyova:
Prediction of CRT Response on Personalized Computer Models. STACOM@MICCAI 2019: 352-363 - Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette:
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. STACOM@MICCAI 2019: 176-185 - Alexandre Legay, Thomas Tiennot, Jean-François Gelly, Maxime Sermesant, Jean Bulté:
End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Quality. STACOM@MICCAI 2019: 167-175 - Peter Lin, Anne L. Martel, Susan Camilleri, Mihaela Pop:
Co-registered Cardiac ex vivo DT Images and Histological Images for Fibrosis Quantification. STACOM@MICCAI 2019: 3-11 - Tao Liu, Yun Tian, Shifeng Zhao, Xiaoying Huang, Yang Xu, Gaoyuan Jiang, Qingjun Wang:
Pseudo-3D Network for Multi-sequence Cardiac MR Segmentation. STACOM@MICCAI 2019: 237-245 - Yimin Luo, Daniel Toth, Kui Jiang, Kuberan Pushparajah, Kawal S. Rhode:
Ultra-DenseNet for Low-Dose X-Ray Image Denoising in Cardiac Catheter-Based Procedures. STACOM@MICCAI 2019: 31-42 - Buntheng Ly, Hubert Cochet, Maxime Sermesant:
Style Data Augmentation for Robust Segmentation of Multi-modality Cardiac MRI. STACOM@MICCAI 2019: 197-208 - Xabier Morales, Jordi Mill, Kristine A. Juhl, Andy L. Olivares, Guillermo Jiménez-Pérez, Rasmus R. Paulsen, Oscar Camara:
Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage. STACOM@MICCAI 2019: 157-166 - Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth:
4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences. STACOM@MICCAI 2019: 72-80 - Julius Ossenberg-Engels, Vicente Grau:
Conditional Generative Adversarial Networks for the Prediction of Cardiac Contraction from Individual Frames. STACOM@MICCAI 2019: 109-118 - Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King:
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. STACOM@MICCAI 2019: 22-30 - Huaqi Qiu, Chen Qin, Loïc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert:
Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training. STACOM@MICCAI 2019: 186-194 - Jinchang Ren, He Sun, Yumin Huang, Hao Gao:
Knowledge-Based Multi-sequence MR Segmentation via Deep Learning with a Hybrid U-Net++ Model. STACOM@MICCAI 2019: 280-289 - Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu:
Cardiac Segmentation of LGE MRI with Noisy Labels. STACOM@MICCAI 2019: 228-236
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