5 citations · 5 across the 4 of their papers we have counts for
14 papers
Geometry-Aware Planar Embedding of Treelike Structures
Ping Hu, Saeed Boorboor, Joseph Marino +1
The growing complexity of spatial and structural information in 3D data makes data inspection and visualization a challenging task. We describe a method to create a planar embeddin…
NeuRegenerate: A Framework for Visualizing Neurodegeneration
Saeed Boorboor, Shawn Mathew, Mala Ananth +3
Recent advances in high-resolution microscopy have allowed scientists to better understand the underlying brain connectivity. However, due to the limitation that biological specime…
COVID-view: Diagnosis of COVID-19 using Chest CT
Shreeraj Jadhav, Gaofeng Deng, Marlene Zawin +1
Significant work has been done towards deep learning (DL) models for automatic lung and lesion segmentation and classification of COVID-19 on chest CT data. However, comprehensive…
FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos
Shawn Mathew, Saad Nadeem, Arie Kaufman
Haustral folds are colon wall protrusions implicated for high polyp miss rate during optical colonoscopy procedures. If segmented accurately, haustral folds can allow for better es…
Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations
Shawn Mathew, Saad Nadeem, Arie Kaufman
Optical colonoscopy (OC), the most prevalent colon cancer screening tool, has a high miss rate due to a number of factors, including the geometry of the colon (haustral fold and sh…
LMap: Shape-Preserving Local Mappings for Biomedical Visualization
Saad Nadeem, Xianfeng Gu, Arie Kaufman
Visualization of medical organs and biological structures is a challenging task because of their complex geometry and the resultant occlusions. Global spherical and planar mapping…