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ORCIDTIA@MICCAI 2020: Lima, Peru
- Jens Petersen, Raúl San José Estépar
, Alexander Schmidt-Richberg, Sarah E. Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori:
Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12502, Springer 2020, ISBN 978-3-030-62468-2
Image Segmentation
- Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen:
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. 3-13 - Rafael Moreta-Martínez, Gonzalo Vegas-Sánchez-Ferrero, Lasse Andresen, Jakob Qvortrup Holsting, Raúl San José Estépar:
Multi-cavity Heart Segmentation in Non-contrast Non-ECG Gated CT Scans with F-CNN. 14-23 - Joshua R. Astley, Alberto M. Biancardi, Paul J. C. Hughes, Laurie J. Smith, Helen Marshall, James Eaden, Jody Bray, Nicholas D. Weatherley, Guilhem J. Collier, Jim M. Wild, Bilal A. Tahir:
3D Deep Convolutional Neural Network-Based Ventilated Lung Segmentation Using Multi-nuclear Hyperpolarized Gas MRI. 24-35 - Uday Kamal, Abdul Muntakim Rafi, Rakibul Hoque, Jonathan Wu, Md. Kamrul Hasan:
Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet. 36-47 - Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz:
3D Probabilistic Segmentation and Volumetry from 2D Projection Images. 48-57
Computer-Aided Diagnosis and Localization
- Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff:
CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. 61-73 - Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros:
Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification. 74-83 - Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Asher Kabakovitch, Dor Amran, Rula Amer, Hayit Greenspan:
A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis. 84-93 - Marina Codari, Antonio Pepe, Gabriel Mistelbauer, Domenico Mastrodicasa, Shannon Walters, Martin J. Willemink, Dominik Fleischmann:
Deep Reinforcement Learning for Localization of the Aortic Annulus in Patients with Aortic Dissection. 94-105
Image Translation and Inpainting
- Pietro Nardelli, Rubén San José Estépar, Farbod N. Rahaghi, Raúl San José Estépar:
Functional-Consistent CycleGAN for CT to Iodine Perfusion Map Translation. 109-117 - Maialen Stephens, Raúl San José Estépar, Jesús Ruiz-Cabello, Ignacio Arganda-Carreras, Iván Macía, Karen López-Linares:
MRI to CTA Translation for Pulmonary Artery Evaluation Using CycleGANs Trained with Unpaired Data. 118-129 - Antonio Pepe, Gabriel Mistelbauer, Christina Gsaxner, Jianning Li, Dominik Fleischmann, Dieter Schmalstieg, Jan Egger:
Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. 130-140
Image Registration
- Muhammad F. A. Chaudhary, Yue Pan, Di Wang, Sandeep Bodduluri, Surya P. Bhatt, Alejandro P. Comellas, Eric A. Hoffman, Gary E. Christensen, Joseph M. Reinhardt:
Registration-Invariant Biomechanical Features for Disease Staging of COPD in SPIROMICS. 143-154 - Tycho F. A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos:
Deep Group-Wise Variational Diffeomorphic Image Registration. 155-164
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