Proceedings - International Symposium on Biomedical Imaging 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.

Self-supervised learning with radiology reports, a comparative analysis of strategies for large vessel occlusion and brain cta images
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023. doi: 10.1109/isbi53787.2023.10230623. Epub 2023 Sep 1.ABSTRACTScarcity of labels for medical images is a significant barrier for training representation learning approaches based on deep neural networks. This limitation is also present when using imaging data collected during routine clinical care stored in picture archiving communication systems (PACS), as these data rarely have attached the high-quality labels required for medical image computing tasks. However, medical images extracted from PACS are commonly coupled with descriptive radiology reports that contain signifi...
Source: Proceedings - International Symposium on Biomedical Imaging - September 15, 2023 Category: Radiology Authors: S Pachade S Datta Y Dong S Salazar-Marioni R Abdelkhaleq A Niktabe K Roberts S A Sheth L Giancardo Source Type: research

Brain Hemisphere Dissimilarity, a Self-Supervised Learning Approach for alpha-synucleinopathies prediction with FDG PET
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023:10.1109/isbi53787.2023.10230560. doi: 10.1109/isbi53787.2023.10230560. Epub 2023 Sep 1.ABSTRACTIdiopathic Rem sleep Behavior Disorder (iRBD) is a significant biomarker for the development of alpha-synucleinopathies, such as Parkinson's disease (PD) or Dementia with Lewy bodies (DLB). Methods to identify patterns in iRBD patients can help in the prediction of the future conversion to these diseases during the long prodromal phase when symptoms are non-specific. These methods are essential for disease management and clinical trial recruitment. Brain PET scans with 18F-FDG PET ...
Source: Proceedings - International Symposium on Biomedical Imaging - September 14, 2023 Category: Radiology Authors: S Tripathi P Mattioli C Liguori A Chiaravalloti D Arnaldi L Giancardo Source Type: research

Foveal avascular zone segmentation using deep learning-driven image-level optimization and fundus photographs
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023:10.1109/isbi53787.2023.10230410. doi: 10.1109/isbi53787.2023.10230410. Epub 2023 Sep 1.ABSTRACTThe foveal avascular zone (FAZ) is a retinal area devoid of capillaries and associated with multiple retinal pathologies and visual acuity. Optical Coherence Tomography Angiography (OCT-A) is a very effective means of visualizing retinal vascular and avascular areas, but its use remains limited to research settings due to its complex optics limiting availability. On the other hand, fundus photography is widely available and often adopted in population studies. In this work, we test...
Source: Proceedings - International Symposium on Biomedical Imaging - September 14, 2023 Category: Radiology Authors: I Coronado S Pachade H Dawoodally S Salazar Marioni J Yan R Abdelkhaleq M Bahrainian A Jagolino-Cole R Channa S A Sheth L Giancardo Source Type: research

Intermediate Deformable Image Registration via Windowed Cross-Correlation
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023:10.1109/isbi53787.2023.10230715. doi: 10.1109/isbi53787.2023.10230715. Epub 2023 Sep 1.ABSTRACTIn population and longitudinal imaging studies that employ deformable image registration, more accurate results can be achieved by initializing deformable registration with the results of affine registration where global misalignments have been considerably reduced. Such affine registration, however, is limited to linear transformations and it cannot account for large nonlinear anatomical variations, such as those between pre- and post-operative images or across different subject a...
Source: Proceedings - International Symposium on Biomedical Imaging - September 11, 2023 Category: Radiology Authors: Iman Aganj Bruce Fischl Source Type: research

Graph-based small bowel path tracking with cylindrical constraints
We present a new graph-based method for small bowel path tracking based on cylindrical constraints. A distinctive characteristic of the small bowel compared to other organs is the contact between parts of itself along its course, which makes the path tracking difficult together with the indistinct appearance of the wall. It causes the tracked path to easily cross over the walls when relying on low-level features like the wall detection. To circumvent this, a series of cylinders that are fitted along the course of the small bowel are used to guide the tracking to more reliable directions. It is implemented as soft constrain...
Source: Proceedings - International Symposium on Biomedical Imaging - May 1, 2023 Category: Radiology Authors: Seung Yeon Shin Sungwon Lee Ronald M Summers Source Type: research