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ORCIDUNSURE/PIPPI@MICCAI 2021: Strasbourg, France
- Carole H. Sudre
, Roxane Licandro, Christian F. Baumgartner, Andrew Melbourne, Adrian V. Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents-Barrena, William M. Wells III, Christopher K. Macgowan:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021 Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 12959, Springer 2021, ISBN 978-3-030-87734-7
UNSURE 2021: Uncertainty Estimation and Modelling and Annotation Uncertainty
- Di Qiu, Lok Ming Lui:
Modal Uncertainty Estimation for Medical Imaging Based Diagnosis. 3-13 - Ali Salari, Yohan Chatelain, Gregory Kiar, Tristan Glatard:
Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic. 14-23 - Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau:
Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR. 24-33 - Sora Iwamoto, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning. 34-43 - Hongwei Li, Sunita Gopal, Anjany Sekuboyina, Jianguo Zhang, Chen Niu, Carolin M. Pirkl, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze:
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. 44-53 - Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez:
Uncertainty-Aware Deep Learning Based Deformable Registration. 54-63 - Natalia Khanzhina, Maxim Kashirin, Andrey Filchenkov:
Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation. 64-74 - M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows. 75-88
UNSURE 2021: Domain Shift Robustness and Risk Management in Clinical Pipelines
- Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu:
Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. 91-101 - Oliver Zhang, Jean-Benoit Delbrouck, Daniel L. Rubin:
Out of Distribution Detection for Medical Images. 102-111 - Jacob Carse, Tamás Süveges, Stephen Hogg, Emanuele Trucco, Charlotte Proby, Colin Fleming, Stephen J. McKenna:
Robust Selective Classification of Skin Lesions with Asymmetric Costs. 112-121 - Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas:
Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis. 122-132 - Alexandru Tifrea, Eric Stavarache, Fanny Yang:
Novel Disease Detection Using Ensembles with Regularized Disagreement. 133-144
PIPPI 2021
- Zoe Hu, Ricky Hu, Ryan Yan, Chantal Mayer, Robert N. Rohling, Rohit Singla:
Automatic Placenta Abnormality Detection Using Convolutional Neural Networks on Ultrasound Texture. 147-156 - Hélène Lajous, Tom Hilbert, Christopher W. Roy, Sébastien Tourbier, Priscille de Dumast, Yasser Alemán-Gómez, Thomas Yu, Hamza Kebiri, Jean-Baptiste Ledoux, Patric Hagmann, Reto Meuli, Vincent Dunet, Mériam Koob, Matthias Stuber, Tobias Kober, Meritxell Bach Cuadra:
Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction. 157-167 - Alena Uus, Jacqueline Matthew, Irina Grigorescu, Samuel Jupp, Lucilio Cordero-Grande, Anthony Price, Emer J. Hughes, Prachi A. Patkee, Vanessa Kyriakopoulou, Robert Wright, Thomas A. Roberts, Jana Hutter, Maximilian Pietsch, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Maria Deprez:
Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI. 168-178 - Beatriz Laureano, Hassna Irzan, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Myelination of Preterm Brain Networks at Adolescence. 179-188 - Bella Specktor-Fadida, Daphna Link-Sourani, Shai Ferster-Kveller, Liat Ben-Sira, Elka Miller, Dafna Ben-Bashat, Leo Joskowicz:
A Bootstrap Self-training Method for Sequence Transfer: State-of-the-Art Placenta Segmentation in fetal MRI. 189-199 - Priscille de Dumast, Hamza Kebiri, Chirine Atat, Vincent Dunet, Mériam Koob, Meritxell Bach Cuadra:
Segmentation of the Cortical Plate in Fetal Brain MRI with a Topological Loss. 200-209 - Netanell Avisdris, Dafna Ben-Bashat, Liat Ben-Sira, Leo Joskowicz:
Fetal Brain MRI Measurements Using a Deep Learning Landmark Network with Reliability Estimation. 210-220 - Liu Li, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. 221-230 - Russell Macleod, Serena J. Counsell, David W. Carmichael, Ralica Dimitrova, Maximilian Pietsch, A. David Edwards, Mary A. Rutherford, Jonathan O'Muircheartaigh:
Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes. 231-241 - Madeleine K. Wyburd, Linde S. Hesse, Moska Aliasi, Mark Jenkinson, Aris T. Papageorghiou, Monique C. Haak, Ana I. L. Namburete:
Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound. 242-252 - Aya Mutaz Zeidan, Paula Ramirez Gilliland, Ashay Patel, Zhanchong Ou, Dimitra Flouri, Nada Mufti, Kasia Maksym, Rosalind Aughwane, Sébastien Ourselin, Anna L. David, Andrew Melbourne:
Texture-Based Analysis of Fetal Organs in Fetal Growth Restriction. 253-262 - Lucas Fidon, Michael Aertsen, Nada Mufti, Thomas Deprest, Doaa Emam, Frédéric Guffens, Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren:
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI. 263-273 - Fleur Gaudfernau, Eléonore Blondiaux, Stéphanie Allassonnière:
Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis. 274-283 - Riine Heinsalu, Logan Z. J. Williams, Aditi Ranjan, Carla Avena Zampieri, Alena Uus, Emma Claire Robinson, Mary A. Rutherford, Lisa Story, Jana Hutter:
Predicting Preterm Birth Using Multimodal Fetal Imaging. 284-293
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