1.1k citations · 1.5k across the 18 of their papers we have counts for
25 papers
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity
Ken C. L. Wong, Levente Klein, Ademir Ferreira da Silva +3
Soil organic carbon (SOC) sequestration is the transfer and storage of atmospheric carbon dioxide in soils, which plays an important role in climate change mitigation. SOC concentr…
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms
Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu +6
Intrasaccular flow disruptors treat cerebral aneurysms by diverting the blood flow from the aneurysm sac. Residual flow into the sac after the intervention is a failure that could…
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini +4
In a complex disease such as tuberculosis, the evidence for the disease and its evolution may be present in multiple modalities such as clinical, genomic, or imaging data. Effectiv…
Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays
Neha Srivathsa, Razi Mahmood, Tanveer Syeda-Mahmood
Chest X-rays have become the focus of vigorous deep learning research in recent years due to the availability of large labeled datasets. While classification of anomalous findings…
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography
Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad +1
Congenital heart disease (CHD) is the most common congenital abnormality associated with birth defects in the United States. Despite training efforts and substantial advancement in…
Multimodal fusion using sparse CCA for breast cancer survival prediction
Vaishnavi Subramanian, Tanveer Syeda-Mahmood, Minh N. Do
Effective understanding of a disease such as cancer requires fusing multiple sources of information captured across physical scales by multimodal data. In this work, we propose a n…