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ORCIDShapeMI@MICCAI 2024: Marrakesh, Morocco
- Christian Wachinger
, Beatriz Paniagua, Shireen Y. Elhabian, Gijs Luijten, Jan Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15275, Springer 2025, ISBN 978-3-031-75290-2 - Jadie Adams, Krithika Iyer, Shireen Y. Elhabian:
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images. 1-17 - Seunghee Koh, Chanho Lee, Jae Young Lee, Jaehyun Choi, Youngno Yoon, Changyoung Lee, Junmo Kim:
PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model. 18-32 - Benjamin Aubert, Nawazish Khan, Francis Toupin, Manuela Pacheco, Alan Morris, Shireen Y. Elhabian, Kongbin Kang:
Deformable Vertebra 3D/2D Registration from Biplanar X-Rays Using Particle-Based Shape Modelling. 33-47 - Zilong Wang, Xinyang Ge, Xiaorong Chen, Lei Li, Wangbin Ding, Yuanye Liu, Fuping Wu, Dengqiang Jia:
Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution. 48-58 - Gasper Podobnik, Domen Ocepek, Luka Skrlj, Tomaz Vrtovec:
Implicitly Explicit: Segmenting Vertebrae with Deep Implicit Statistical Shape Models. 59-69 - Daniel Zieger, Florian Güthlein, Jann-Ole Henningson, Verena Jakob, Heiko Gaßner, Julian Shanbhag, Sophie Fleischmann, Jörg Miehling, Sandro Wartzack, Björn M. Eskofier, Jürgen Winkler, Bernhard Egger, Marc Stamminger:
3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars. 70-83 - Farukh Yaushev, Daria Nogina, Valentin Samokhin, Mariya Dugova, Ekaterina Petrash, Dmitry Sevryukov, Mikhail Belyaev, Maxim Pisov:
Robust Curve Detection in Volumetric Medical Imaging via Attraction Field. 84-96 - Álvaro Heredia-Lidón, Christian García-Mascarell, Luis Miguel Echeverry-Quiceno, Noemí Hostalet, Daniel Herrera-Escartín, Alejandro González, Edith Pomarol-Clotet, Juan Fortea, Mar Fatjó-Vilas, Neus Martínez-Abadías, Xavier Sevillano:
A Critical Comparison Between Template-Based and Architecture-Reused Deep Learning Methods for Generic 3D Landmarking of Anatomical Structures. 97-111 - Yu Deng, Yiyang Xu, Linglong Qian, Anastasia Nasopoulou, Steven Williams, Michelle C. Williams, Steven A. Niederer, Kuberan Pushparajah, Alistair A. Young:
Adaptive Bi-ventricle Surface Reconstruction from Cardiovascular Imaging. 112-122 - Maximilian Schlosser, Markus Krüger, Amro Daboul, Tatyana Ivanovska:
Application of Deep Statistical Shape Modeling for Analysis of Obstructive Sleep Apnea from MRI Data. 123-136 - Peng Liu, Sebastian Bodenstedt, Fiona R. Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel, Micha Pfeiffer:
Leveraging Expert Knowledge for Real-Time Online Adaptation of Intraoperative Liver Registration. 137-148 - Janmesh Ukey, Tushar Kataria, Shireen Y. Elhabian:
MASSM: An End-to-End Deep Learning Framework for Multi Anatomy Statistical Shape Modeling Directly From Images. 149-163 - Jiarui Xing, Nivetha Jayakumar, Nian Wu, Yu Wang, Frederick H. Epstein, Miaomiao Zhang:
LaMoD: Latent Motion Diffusion Model for Myocardial Strain Generation. 164-177 - Sy Dat Tran, Quan Anh Duong, Jin-Kyu Gahm:
Enhancing Multimodal Image-Based Classification of Alzheimer's Disease with Surface Information. 178-188 - Gaia Romana De Paolis, Dimitrios Lenis, Johannes Novotny, Maria Wimmer, Astrid Berg, Theresa Neubauer, Philip Matthias Winter, David Major, Ariharasudhan Muthusami, Gerald Schröcker, Martin Mienkina, Katja Bühler:
Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations. 189-204 - Hamza Mekhzoum, Benyameen Keelson, Thierry Scheerlinck, Jef Vandemeulebroucke:
Towards Point Cloud-Based Medical Image Registration for Dynamic 4D-CT Imaging. 205-223
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