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Seunghyun Hwang

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An annotation sparsification strategy for 3D medical image segmentation via representative selection and self-training
bySeunghyun Hwang
 
Do wide and deep networks learn the same things? Uncovering how neural network representations vary with width and depth
bySeunghyun Hwang
 
Deep Learning-based Fully Automated Detection and Quantification of Acute Infarcts
bySeunghyun Hwang
 
Diagnosis of Maxillary Sinusitis in Water’s view based on Deep learning model
bySeunghyun Hwang
 
Energy-based Model for Out-of-Distribution Detection in Deep Medical Image Segmentation
bySeunghyun Hwang
 
End-to-End Object Detection with Transformers
bySeunghyun Hwang
 
Deep Generative model-based quality control for cardiac MRI segmentation
bySeunghyun Hwang
 
Segmenting Medical MRI via Recurrent Decoding Cell
bySeunghyun Hwang
 
Progressive learning and Disentanglement of hierarchical representations
bySeunghyun Hwang
 
Learning Sparse Networks using Targeted Dropout
bySeunghyun Hwang
 
A Simple Framework for Contrastive Learning of Visual Representations
bySeunghyun Hwang
 
How useful is self-supervised pretraining for Visual tasks?
bySeunghyun Hwang
 
ResNeSt: Split-Attention Networks
bySeunghyun Hwang
 
DeepStrip: High Resolution Boundary Refinement
bySeunghyun Hwang
 
Your Classifier is Secretly an Energy based model and you should treat it like one
bySeunghyun Hwang