2 citations · 4 across the 5 of their papers we have counts for
5 papers
Meta-D: Metadata-Aware Architectures for Brain Tumor Analysis and Missing-Modality Segmentation
SangHyuk Kim, Daniel Haehn, Sumientra Rampersad
We present Meta-D, an architecture that explicitly leverages categorical scanner metadata such as MRI sequence and plane orientation to guide feature extraction for brain tumor ana…
MRI Plane Orientation Detection using a Context-Aware 2.5D Model
SangHyuk Kim, Daniel Haehn, Sumientra Rampersad
Humans can easily identify anatomical planes (axial, coronal, and sagittal) on a 2D MRI slice, but automated systems struggle with this task. Missing plane orientation metadata can…
Melanoma Detection with Uncertainty Quantification
SangHyuk Kim, Edward Gaibor, Brian Matejek +1
Early detection of melanoma is crucial for improving survival rates. Current detection tools often utilize data-driven machine learning methods but often overlook the full integrat…
Boostlet.js: Image processing plugins for the web via JavaScript injection
Edward Gaibor, Shruti Varade, Rohini Deshmukh +5
Can web-based image processing and visualization tools easily integrate into existing websites without significant time and effort? Our Boostlet.js library addresses this challenge…
Web-based Melanoma Detection
SangHyuk Kim, Edward Gaibor, Daniel Haehn
Melanoma is the most aggressive form of skin cancer, and early detection can significantly increase survival rates and prevent cancer spread. However, developing reliable automated…