Seunghyun Hwang

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medical deep learning out-of-distribution deteciton image segmentation quality control anomaly detection sinusitis detection stroke lesion segmentation ischemic stroke acute infarct segmentation label sparsification unsupervised learning medical image segmentation self training deep learning depth and width google tpu

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Large Scale GAN Training for High Fidelity Natural Image Synthesis

4 years ago • 79 Views

Mix Conv: Mixed Depthwise Convolutional Kernels

4 years ago • 74 Views

FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference

4 years ago • 77 Views

A Probabilistic U-Net for Segmentation of Ambiguous Images

4 years ago • 232 Views

Your Classifier is Secretly an Energy based model and you should treat it like one

4 years ago • 223 Views

DeepStrip: High Resolution Boundary Refinement

4 years ago • 197 Views

ResNeSt: Split-Attention Networks

4 years ago • 235 Views

How useful is self-supervised pretraining for Visual tasks?

4 years ago • 147 Views

A Simple Framework for Contrastive Learning of Visual Representations

4 years ago • 341 Views

Learning Sparse Networks using Targeted Dropout

4 years ago • 140 Views

Progressive learning and Disentanglement of hierarchical representations

4 years ago • 158 Views

Segmenting Medical MRI via Recurrent Decoding Cell

4 years ago • 151 Views

Deep Generative model-based quality control for cardiac MRI segmentation

4 years ago • 179 Views

End-to-End Object Detection with Transformers

4 years ago • 1644 Views

Energy-based Model for Out-of-Distribution Detection in Deep Medical Image Segmentation

4 years ago • 263 Views

Diagnosis of Maxillary Sinusitis in Water’s view based on Deep learning model

4 years ago • 120 Views

Deep Learning-based Fully Automated Detection and Quantification of Acute Infarcts

4 years ago • 155 Views

Do wide and deep networks learn the same things? Uncovering how neural network representations vary with width and depth

4 years ago • 70 Views

An annotation sparsification strategy for 3D medical image segmentation via representative selection and self-training

4 years ago • 113 Views

medical deep learning out-of-distribution deteciton image segmentation quality control anomaly detection sinusitis detection stroke lesion segmentation ischemic stroke acute infarct segmentation label sparsification unsupervised learning medical image segmentation self training deep learning depth and width google tpu

See more