31 citations · 34 across the 5 of their papers we have counts for
5 papers
Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling
Nicole M Duggan, Mike Jin, Maria Alejandra Duran Mendicuti +10
Study Objective: Machine learning models have advanced medical image processing and can yield faster, more accurate diagnoses. Despite a wealth of available medical imaging data, h…
Efficient Aberration Correction via Optimal Bulk Speed of Sound Compensation
Scott Schoen, Viksit Kumar, Yuyang Gu +5
Diagnostic ultrasound is a versatile and practical tool in the abdomen, and is particularly vital toward the detection and mitigation of early-stage non-alcoholic fatty liver disea…
Network-Agnostic Knowledge Transfer for Medical Image Segmentation
Shuhang Wang, Vivek Kumar Singh, Alex Benjamin +5
Conventional transfer learning leverages weights of pre-trained networks, but mandates the need for similar neural architectures. Alternatively, knowledge distillation can transfer…
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation
Shuhang Wang, Szu-Yeu Hu, Eugene Cheah +10
This paper proposes a novel U-Net variant using stacked dilated convolutions for medical image segmentation (SDU-Net). SDU-Net adopts the architecture of vanilla U-Net with modific…
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging
Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng +6
Modern deep learning algorithms geared towards clinical adaption rely on a significant amount of high fidelity labeled data. Low-resource settings pose challenges like acquiring hi…