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ORCIDDATRA/PIPPI@MICCAI 2018: Granada, Spain
- Andrew Melbourne, Roxane Licandro
, Matthew D. DiFranco, Paolo Rota, Melanie Gau, Martin Kampel, Rosalind Aughwane, Pim Moeskops, Ernst Schwartz, Emma C. Robinson, Antonios Makropoulos:
Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 - and - Third International Workshop, PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11076, Springer 2018, ISBN 978-3-030-00806-2
DATRA
- Jebaveerasingh Jebadurai, J. Dinesh Peter:
DeepCS: Deep Convolutional Neural Network and SVM Based Single Image Super-Resolution. 3-13 - Zihao Tang, Chenyu Wang, Phu Hoang, Sidong Liu, Weidong Cai, Domenic Soligo, Ruth Oliver, Michael Barnett, Ché Fornusek:
Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images. 14-21 - Matthias Perkonigg, Johannes Hofmanninger, Björn H. Menze, Marc-André Weber, Georg Langs:
Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning. 22-30 - Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu:
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response. 31-41 - Yusuf Özbek, Zoltán R. Bárdosi, Srdjan Milosavljevic, Wolfgang Freysinger:
Optimizing External Surface Sensor Locations for Respiratory Tumor Motion Prediction. 42-51
PIPPI
- Sagar Vaze, Ana I. L. Namburete:
Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound. 55-65 - Qingjie Meng, Christian F. Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gómez, Benjamin Hou, Nicolas Toussaint, Veronika A. M. Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
Automatic Shadow Detection in 2D Ultrasound Images. 66-75 - Ana I. L. Namburete, Raquel van Kampen, Aris T. Papageorghiou, Bartlomiej W. Papiez:
Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas. 76-86 - Susmita Saha, Alex M. Pagnozzi, Joanne George, Paul B. Colditz, Roslyn N. Boyd, Stephen E. Rose, Jurgen Fripp, Kerstin Pannek:
Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach. 87-96 - Alessio Virzì, Pietro Gori, Cécile Olivia Muller, Eva Mille, Q. Peyrot, Laureline Berteloot, Nathalie Boddaert, Sabine Sarnacki, Isabelle Bloch:
Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach. 97-106 - Veronika A. Zimmer, Alberto Gómez, Yohan Noh, Nicolas Toussaint, Bishesh Khanal, Robert Wright, Laura Peralta Pereira, Milou P. M. van Poppel, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel:
Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding. 107-116 - Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. M. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. 117-127 - Praneeth Sadda, John A. Onofrey, Mert Ozan Bahtiyar, Xenophon Papademetris:
Better Feature Matching for Placental Panorama Construction. 128-137 - Baris U. Oguz, Jiancong Wang, Natalie Yushkevich, Alison M. Pouch, James C. Gee, Paul A. Yushkevich, Nadav Schwartz, Ipek Oguz:
Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS. 138-148 - Robert Wright, Bishesh Khanal, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Joseph V. Hajnal, Daniel Rueckert, Julia A. Schnabel:
LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images. 149-159 - Peiyao Kong, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Baiying Lei:
Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks. 160-168 - Mariusz Bajger, Gobert N. Lee, Martin Caon:
Paediatric Liver Segmentation for Low-Contrast CT Images. 169-178
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