Congratulations!!! Wonjun’s paper “Deep Recurrent Spatio-Spectral Neural Network for Motor Imagery based BCI,” is accepted to present at BCI Workshop 2018.

우리 연구실의 김범채 석사과정이 학위 논문 심사를 모두 통과하여 금년 2월에 석사 학위를 취득할 예정입니다. 축하합니다!

Congratulations!!!

Congratulations!!! Jee Seok’s paper “Gated Two-Stage Convolutional Neural Networkfor Ischemic Stroke Lesion Segmentation,” is accepted to present at MICCAI-ISLES 2017 Challenge.

Authors: E. Jun, H.-I, Suk

Paper information: “Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Functional Dynamics Analysis,” Connectomics in NeuroImaging (CNI) in conjunction with MICCAI.

Authors: 김범채, 석흥일

Paper information: “위양성 폐결절 검출 감소를 위한 횡단면 채널 2D CNN”, 2017 한국뇌공학회 뇌와 인공지능 하계 워크숍 (포스터)

Authors: 최준식, 석흥일

Paper information: “딥러닝 기반의 고해상도 자기공명영상 재구성”, 2017 한국뇌공학회 뇌와 인공지능 하계 워크숍 (포스터)

Author: Jee-Seok Yoon

Award information: Jee-Seok’s paper, titled “Auto-Context Bagging for Brain Tumor Segmentation”, is awarded as the “Best Paper” in 2017 KIISE Korea Computer Congress, held at Jeju island in June 18-20, 2017.

Congratulations!!! 4 papers have been accepted to KIISE-KCC 2017.

Congratulations!!! A paper on deep ensemble learning of sparse regression models has been accepted for publication in Medical Image Analysis.

Author: Jee-Seok Yoon

Award information: Jee-Seok’s paper, titled “Deep Learning-based Brain Tumor Segmentation from Multi-modal MRI”, is awarded as “Best Presentation Paper” in 2016 KIISE Winter Workshop, held at Gangwon Province in December 21-23, 2016.