MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention This 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.

Flow-based Geometric Interpolation of Fiber Orientation Distribution Functions
Med Image Comput Comput Assist Interv. 2023 Oct;14227:46-55. doi: 10.1007/978-3-031-43993-3_5. Epub 2023 Oct 1.ABSTRACTThe fiber orientation distribution function (FOD) is an advanced model for high angular resolution diffusion MRI representing complex fiber geometry. However, the complicated mathematical structures of the FOD function pose challenges for FOD image processing tasks such as interpolation, which plays a critical role in the propagation of fiber tracts in tractography. In FOD-based tractography, linear interpolation is commonly used for numerical efficiency, but it is prone to generate false artificial inform...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - March 29, 2024 Category: Radiology Authors: Xinyu Nie Yonggang Shi Source Type: research

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning
In this study, we assess the feasibility of democratizing pathological AI deployment by only using lay annotators (annotators without medical domain knowledge). The contribution of this paper is threefold: (1) We proposed a molecular-empowered learning scheme for multi-class cell segmentation using partial labels from lay annotators; (2) The proposed method integrated Giga-pixel level molecular-morphology cross-modality registration, molecular-informed annotation, and molecular-oriented segmentation model, so as to achieve significantly superior performance via 3 lay annotators as compared with 2 experienced pathologists; ...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - March 26, 2024 Category: Radiology Authors: Ruining Deng Yanwei Li Peize Li Jiacheng Wang Lucas W Remedios Saydolimkhon Agzamkhodjaev Zuhayr Asad Quan Liu Can Cui Yaohong Wang Yihan Wang Yucheng Tang Haichun Yang Yuankai Huo Source Type: research

Cochlear Implant Fold Detection in Intra-operative CT Using Weakly Supervised Multi-task Deep Learning
Med Image Comput Comput Assist Interv. 2023 Oct;14228:249-259. doi: 10.1007/978-3-031-43996-4_24. Epub 2023 Oct 1.ABSTRACTIn cochlear implant (CI) procedures, an electrode array is surgically inserted into the cochlea. The electrodes are used to stimulate the auditory nerve and restore hearing sensation for the recipient. If the array folds inside the cochlea during the insertion procedure, it can lead to trauma, damage to the residual hearing, and poor hearing restoration. Intraoperative detection of such a case can allow a surgeon to perform reimplantation. However, this intraoperative detection requires experience and e...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - March 22, 2024 Category: Radiology Authors: Mohammad M R Khan Yubo Fan Benoit M Dawant Jack H Noble Source Type: research

Uncovering Heterogeneity in Alzheimer's Disease from Graphical Modeling of the Tau Spatiotemporal Topography
Med Image Comput Comput Assist Interv. 2023 Oct;14224:262-271. doi: 10.1007/978-3-031-43904-9_26. Epub 2023 Oct 1.ABSTRACTGrowing evidence from post-mortem and in vivo studies have demonstrated the substantial variability of tau pathology spreading patterns in Alzheimer's disease(AD). Automated tools for characterizing the heterogeneity of tau pathology will enable a more accurate understanding of the disease and help the development of targeted treatment. In this paper, we propose a Reeb graph representation of tau pathology topography on cortical surfaces using tau PET imaging data. By comparing the spatial and temporal ...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - March 21, 2024 Category: Radiology Authors: Jiaxin Yue Yonggang Shi Source Type: research

Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention
Med Image Comput Comput Assist Interv. 2023 Oct;14223:354-363. doi: 10.1007/978-3-031-43901-8_34. Epub 2023 Oct 1.ABSTRACTThe automated segmentation and analysis of small vessels from in vivo imaging data is an important task for many clinical applications. While current filtering and learning methods have achieved good performance on the segmentation of large vessels, they are sub-optimal for small vessel detection due to their apparent geometric irregularity and weak contrast given the relatively limited resolution of existing imaging techniques. In addition, for supervised learning approaches, the acquisition of accurat...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - March 19, 2024 Category: Radiology Authors: Zhiwei Deng Songnan Xu Jianwei Zhang Jiong Zhang Danny J Wang Lirong Yan Yonggang Shi Source Type: research

Personalized Patch-based Normality Assessment of Brain Atrophy in Alzheimer's Disease
Med Image Comput Comput Assist Interv. 2023 Oct;14224:55-62. doi: 10.1007/978-3-031-43904-9_6. Epub 2023 Oct 1.ABSTRACTCortical thickness is an important biomarker associated with gray matter atrophy in neurodegenerative diseases. In order to conduct meaningful comparisons of cortical thickness between different subjects, it is imperative to establish correspondence among surface meshes. Conventional methods achieve this by projecting surface onto canonical domains such as the unit sphere or averaging feature values in anatomical regions of interest (ROIs). However, due to the natural variability in cortical topography, pe...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - March 19, 2024 Category: Radiology Authors: Jianwei Zhang Yonggang Shi Source Type: research