Seunghyun Hwang
19 SlideShares 1 Follower
Personal Information
Beruf
Deep Learning Engineer
Branche
Technology / Software / Internet
Webseite
github.com/seunghyunni
Info
I am AI researcher working at data science center in Severance Hospital, Yonsei University, South Korea. I earned my bachelor's degree this year from the department of computer science, Yonsei University. I am currently searching for research group to join, preparing for 2021 fall PhD admission in United States.
Tags
medical deep learning tpu google depth and width deep learning self training medical image segmentation unsupervised learning label sparsification segmentation acute infarct ischemic stroke stroke lesion segmentation sinusitis detection anomaly detection quality control image segmentation out-of-distribution deteciton
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Aktuellste Beliebteste SlideShares

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

Vor 3 Jahren • 81 Aufrufe

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

Vor 3 Jahren • 55 Aufrufe

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

Vor 3 Jahren • 142 Aufrufe

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

Vor 3 Jahren • 103 Aufrufe

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

Vor 3 Jahren • 238 Aufrufe

End-to-End Object Detection with Transformers

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Deep Generative model-based quality control for cardiac MRI segmentation

Vor 3 Jahren • 131 Aufrufe

Segmenting Medical MRI via Recurrent Decoding Cell

Vor 3 Jahren • 146 Aufrufe

Progressive learning and Disentanglement of hierarchical representations

Vor 3 Jahren • 144 Aufrufe

Learning Sparse Networks using Targeted Dropout

Vor 3 Jahren • 133 Aufrufe

A Simple Framework for Contrastive Learning of Visual Representations

Vor 3 Jahren • 266 Aufrufe

How useful is self-supervised pretraining for Visual tasks?

Vor 3 Jahren • 135 Aufrufe

ResNeSt: Split-Attention Networks

Vor 3 Jahren • 213 Aufrufe

DeepStrip: High Resolution Boundary Refinement

Vor 3 Jahren • 174 Aufrufe

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

Vor 3 Jahren • 191 Aufrufe

A Probabilistic U-Net for Segmentation of Ambiguous Images

Vor 3 Jahren • 197 Aufrufe

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

Vor 3 Jahren • 65 Aufrufe

Mix Conv: Mixed Depthwise Convolutional Kernels

Vor 3 Jahren • 71 Aufrufe

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Vor 3 Jahren • 71 Aufrufe