Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDASMUS/PIPPI@MICCAI 2020: Lima, Peru
- Yipeng Hu
, Roxane Licandro, J. Alison Noble, Jana Hutter, Stephen R. Aylward, Andrew Melbourne, Esra Abaci Turk, Jordina Torrents-Barrena:
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12437, Springer 2020, ISBN 978-3-030-60333-5
Diagnosis and Measurement
- Haixia Wang, Rui Li, Xuan Chen, Bin Duan, Linfewi Xiong, Xin Yang, Haining Fan, Dong Ni:
Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis. 3-12 - Lok Hin Lee, Elizabeth Bradburn, Aris T. Papageorghiou, J. Alison Noble:
Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Ultrasound Images. 13-22 - Brad T. Moore, Sean Montgomery, Marc Niethammer, Hastings Greer, Stephen R. Aylward:
Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound. 23-32 - Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King:
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. 33-41 - Qingchao Chen, Yang Liu, Yipeng Hu, Alice Self, Aris T. Papageorghiou, J. Alison Noble:
Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis. 42-51
Segmentation, Captioning and Enhancement
- Brian C. Lee, Kunal Vaidya, Ameet K. Jain, Alvin Chen:
Guidewire Segmentation in 4D Ultrasound Sequences Using Recurrent Fully Convolutional Networks. 55-65 - Yuxi Liu, Xing An, Longfei Cong, Guohao Dong, Lei Zhu:
Embedding Weighted Feature Aggregation Network with Domain Knowledge Integration for Breast Ultrasound Image Segmentation. 66-74 - Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Curriculum Learning Based Approach to Captioning Ultrasound Images. 75-84 - Lin Zhang, Tiziano Portenier, Christoph Paulus, Orcun Goksel:
Deep Image Translation for Enhancing Simulated Ultrasound Images. 85-94
Localisation and Guidance
- Kanta Miura, Koichi Ito, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo:
Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction. 97-105 - Keshav Bimbraw, Xihan Ma, Ziming Zhang, Haichong K. Zhang:
Augmented Reality-Based Lung Ultrasound Scanning Guidance. 106-115 - Zachary M. C. Baum, Yipeng Hu, Dean C. Barratt:
Multimodality Biomedical Image Registration Using Free Point Transformer Networks. 116-125 - Yuan Gao, Sridevi Beriwal, Rachel Craik, Aris T. Papageorghiou, J. Alison Noble:
Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learning. 126-135 - Helena Williams, Laura Cattani, Mohammad Yaqub, Carole H. Sudre, Tom Vercauteren, Jan Deprest, Jan D'hooge:
Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound. 136-145 - Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment. 146-157
Robotics and Skill Assessment
- Kevin M. Gilboy, Yixuan Wu, Bradford J. Wood, Emad M. Boctor, Russell H. Taylor:
Dual-Robotic Ultrasound System for In Vivo Prostate Tomography. 161-170 - Shuangyi Wang, Xilong Hou, James Housden, Zengguang Hou, Davinder Singh, Kawal S. Rhode:
IoT-Based Remote Control Study of a Robotic Trans-Esophageal Ultrasound Probe via LAN and 5G. 171-179 - Yipei Wang, Richard Droste, Jianbo Jiao, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking. 180-188 - Robert Liu, Matthew S. Holden:
Kinematics Data Representations for Skills Assessment in Ultrasound-Guided Needle Insertion. 189-198
PIPPI 2020
- Junshen Xu, Molin Zhang, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network. 201-210 - Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen, Wiro J. Niessen, Anton H. J. Koning, Stefan Klein:
Atlas-Based Segmentation of the Human Embryo Using Deep Learning with Minimal Supervision. 211-221 - Alena Uus, Johannes K. Steinweg, Alison Ho, Laurence H. Jackson, Joseph V. Hajnal, Mary A. Rutherford, Maria Deprez, Jana Hutter:
Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI. 222-232 - Yipeng Zhang, Haofu Liao, Jin Xiao, Nisreen Al Jallad, Oriana Ly-Mapes, Jiebo Luo:
A Smartphone-Based System for Real-Time Early Childhood Caries Diagnosis. 233-242 - Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas G. Day, David Lloyd, Bernhard Kainz:
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. 243-252 - Irina Grigorescu, Lucilio Cordero-Grande, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez:
Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach. 253-263 - Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Nooshin Ghavami, Robert Wright, Lei Li, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel:
A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. 264-273 - Tomasz Wlodarczyk, Szymon Plotka, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski:
Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks. 274-283 - Liying Peng, Lanfen Lin, Yusen Lin, Yue Zhang, Roza M. Vlasova, Juan Prieto, Yen-Wei Chen, Guido Gerig, Martin Styner:
Multi-modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images. 284-294 - Kelly Payette, Raimund Kottke, András Jakab:
Efficient Multi-class Fetal Brain Segmentation in High Resolution MRI Reconstructions with Noisy Labels. 295-304 - Jorge Luis Perez-Gonzalez, Nidiyare Hevia Montiel, Verónica Médina-Bañuelos:
Deep Learning Spatial Compounding from Multiple Fetal Head Ultrasound Acquisitions. 305-314 - Hassna Irzan, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents. 315-323 - Russell Macleod, Jonathan O'Muircheartaigh, A. David Edwards, David W. Carmichael, Mary A. Rutherford, Serena J. Counsell:
Automatic Detection of Neonatal Brain Injury on MRI. 324-333 - Jieyu Cheng, Adrian V. Dalca, Lilla Zöllei:
Unbiased Atlas Construction for Neonatal Cortical Surfaces via Unsupervised Learning. 334-342
a service of 
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.
last updated on 2024-06-29 00:49 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
