— The aim of this study is about tracing filamentary structures in both neuronal and retinal images. It is often crucial to identify single neurons in neuronal networks, or sepa...
Jaydeep De, Li Cheng, Xiaowei Zhang, Feng Lin, Hui...
Automatic cell segmentation can hardly be flawless due to the complexity of image data particularly when time-lapse experiments last for a long time without biomarkers. To addres...
Hang Su, Zhaozheng Yin, Seungil Huh, Takeo Kanade,...
—Extracting geometrical information from large 2D or 3D biomedical images is important to better understand fundamental phenomena such as morphogenesis. We address the problem of...
—Quantitative histomorphometry (QH) refers to the process of computationally modeling disease appearance on digital pathology images. This proceduretypically involves extraction ...
Shoshana B. Ginsburg, George Lee, Sahirzeeshan Ali...
—Registration of images in the presence of intra-image signal fluctuations is a challenging task. The definition of an appropriate objective function measuring the similarity b...
Zhang Li, Dwarikanath Mahapatra, Jeroen A. W. Tiel...
—A fundamental means for understanding the brain’s organizational structure is to group its spatially disparate regions into functional subnetworks based on their interactions....
—Atherosclerosis and Abdominal Aortic Aneurysms (AAAs) are two common vascular diseases associated with mechanical changes in the arterial wall. Pulse Wave Imaging (PWI), a techn...
Iason Zacharias Apostolakis, Sacha D. Nandlall, El...
Abstract—Cardiac Phase-resolved Blood-Oxygen-Level Dependent (CP–BOLD) MRI provides a unique opportunity to image an ongoing ischemia at rest. However, it requires post-process...
Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. T...
—The accurate segmentation of lung lesions from computed tomography (CT) scans is important for lung cancer research and can offer valuable information for clinical diagnosis and...
Jiangdian Song, Caiyun Yang, Li Fan, Kun Wang, Fen...