Medical illustration
Development of hand gestures recognition using Machine learning for contactless interface system
Paper : Computer Methods and Programs in Biomedicine, Volume 161, July 2018, Pages 39-44
Computer-based dental applications
subtitle
content
ai
Data augmentation using Generative Adversarial Network in Chest X-ray
영상의학과 이상민A 교수님 협력연구
Data augmentation techniques for high-resolution chest X-ray images using GANs and latent space disentanglement
Disentanglement of Latent Space of GANs
영상의학과 이상민A 교수님 협력연구
Data augmentation techniques for high-resolution chest X-ray images using GANs and latent space disentanglement
Spine segmentation using Deep Learning
세브란스/강남세브란스/분당서울대병원 협력연구
Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network
Action recognition in operating rooms
마취과 김성훈 교수님 협력연구
Automated hand hygiene monitoring system in operating rooms using a combination of pose estimation and action recognition
Unsupervised Anomaly Detection using GANs
영상의학과 이상민A, 홍길선 교수님 협력연구
Unsupervised anomaly detection in chest X-ray and wholebody CT images using GANs
Bio-medical signal processing
심장내과 송종민 교수님 협력연구
Fully automated heart disease classification using convolutional neural networks
Segmentation
Airway segmentation (영상의학과 서준범 교수님 협력연구)
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5D dimensional convolutional neural net, MIA 2019.
Segmentation
Pancreas segmentation (영상의학과 김형중 교수님 협력연구)
Robustness and accuracy enhancement of pancreas segmentation using domain adaptation with 3D u-net between multi-center abdominal CT scans, KCR 2018.
Segmentation
Kidney segmentation (비뇨의학과 김청수, 건강의학과 경윤수 교수님 협력연구)
Robustness and accuracy enhancement of pancreas segmentation using domain adaptation with 3D u-net between multi-center abdominal CT scans, KCR 2018.
Classification
Pathological diagnosis in colonoscopy (소화기내과 변정식 교수님 협력연구)
Endoscopic diagnosis and treatment plan for colorectal polyps using a deep learning model, submitted.
Classification
Pathological diagnosis in colonoscopy (소화기내과 변정식 교수님 협력연구)
Endoscopic diagnosis and treatment plan for colorectal polyps using a deep learning model, submitted.
Classification
Chest X-ray classification (영상의학과 서준범, 이상민B 교수님 협력연구)
Curriculum learning from patch to image for pulmonary abnormal pattern screening in chest-PA x-ray: validation on multi-center datasets, RSNA 2018.
Detection
Quantification of renal transplant rejection (병리과 고현정 교수님 협력연구)
A fully automated system using a convolutional neural network to predict renal allograft rejection: extra-validation with giga-pixel immunostained slides, Scientific Reports 2019.
Detection
Breast cancer (병리과 공경엽 교수님 협력연구)
A fully automated system to predict not only whether digital slide has metastasis or not, but also localize the active tumor regions using an ensemble of CNN-based classification models in real time.
Survival Analysis
Chronic obstructive pulmonary disease (영상의학과 서준범 교수님 협력연구)
Evaluation of deep radiomics from chest computed tomography (CT) as possible predictors on the mortality of patients with chronic obstructive pulmonary disease.
Survival Analysis
Liver cancer (소화기내과 김강모 교수님 협력연구)
Development of machine learning-based clinical decision support system for hepatocellular carcinoma, submitted.
Survival Analysis
Lung cancer (영상의학과 이상민B 교수님 협력연구)
Deep radiomics approach for prediction of mortality in lung cancer.
Super-resolution
CT kernel conversion (영상의학과 서준범, 이상민B 교수님 협력연구)
CT kernel conversions using convolutional neural net for super-resolution with simplified SE blocks and progressive learning among smooth and sharp kernels, SPIE 2019.
Super-resolution
MRI denoising (영상의학과 정승채 교수님 협력연구)
MRI Compressed Sensing Image Reconstruction using deep learning.
