MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention RSS feedThis is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
Med Image Comput Comput Assist Interv. 2023 Oct;14221:46-56. doi: 10.1007/978-3-031-43895-0_5. Epub 2023 Oct 1.ABSTRACTDeep learning (DL) models for segmenting various anatomical structures have achieved great success via a static DL model that is trained in a single source domain. Yet, the static DL model is likely to perform poorly in a continually evolving environment, requiring appropriate model updates. In an incremental learning setting, we would expect that well-trained static models are updated, following continually evolving target domain data-e.g., additional lesions or structures of interest-collected from diffe...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - April 26, 2024 Category: Radiology Authors: Xiaofeng Liu Helen A Shih Fangxu Xing Emiliano Santarnecchi Georges El Fakhri Jonghye Woo Source Type: research

Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy
Med Image Comput Comput Assist Interv. 2023 Oct;14220:615-625. doi: 10.1007/978-3-031-43907-0_59. Epub 2023 Oct 1.ABSTRACTStatistical shape modeling is the computational process of discovering significant shape parameters from segmented anatomies captured by medical images (such as MRI and CT scans), which can fully describe subject-specific anatomy in the context of a population. The presence of substantial non-linear variability in human anatomy often makes the traditional shape modeling process challenging. Deep learning techniques can learn complex non-linear representations of shapes and generate statistical shape mod...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - April 25, 2024 Category: Radiology Authors: Krithika Iyer Shireen Elhabian Source Type: research

Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
Med Image Comput Comput Assist Interv. 2023 Oct 13;2023:448-458. doi: 10.1007/978-3-031-43999-5_43.ABSTRACTWe introduce MHVAE, a deep hierarchical variational autoencoder (VAE) that synthesizes missing images from various modalities. Extending multi-modal VAEs with a hierarchical latent structure, we introduce a probabilistic formulation for fusing multi-modal images in a common latent representation while having the flexibility to handle incomplete image sets as input. Moreover, adversarial learning is employed to generate sharper images. Extensive experiments are performed on the challenging problem of joint intra-operat...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - April 24, 2024 Category: Radiology Authors: Reuben Dorent Nazim Haouchine Fryderyk Kogl Samuel Joutard Parikshit Juvekar Erickson Torio Alexandra Golby Sebastien Ourselin Sarah Frisken Tom Vercauteren Tina Kapur William M Wells Source Type: research

Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer
Med Image Comput Comput Assist Interv. 2023 Oct;14226:435-445. doi: 10.1007/978-3-031-43990-2_41. Epub 2023 Oct 1.ABSTRACTThe tongue's intricate 3D structure, comprising localized functional units, plays a crucial role in the production of speech. When measured using tagged MRI, these functional units exhibit cohesive displacements and derived quantities that facilitate the complex process of speech production. Non-negative matrix factorization-based approaches have been shown to estimate the functional units through motion features, yielding a set of building blocks and a corresponding weighting map. Investigating the lin...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - April 23, 2024 Category: Radiology Authors: Xiaofeng Liu Fangxu Xing Maureen Stone Jiachen Zhuo Sidney Fels Jerry L Prince Georges El Fakhri Jonghye Woo Source Type: research

Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation
Med Image Comput Comput Assist Interv. 2023 Oct;14228:133-143. doi: 10.1007/978-3-031-43996-4_13. Epub 2023 Oct 1.ABSTRACTSurgical phase recognition (SPR) is a crucial element in the digital transformation of the modern operating theater. While SPR based on video sources is well-established, incorporation of interventional X-ray sequences has not yet been explored. This paper presents Pelphix, a first approach to SPR for X-ray-guided percutaneous pelvic fracture fixation, which models the procedure at four levels of granularity - corridor, activity, view, and frame value - simulating the pelvic fracture fixation workflow a...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - April 15, 2024 Category: Radiology Authors: Benjamin D Killeen Han Zhang Jan Mangulabnan Mehran Armand Russell H Taylor Greg Osgood Mathias Unberath Source Type: research