재정 지원 요구사항을 통해 공개된 자료 - Seong Tae Kim자세히 알아보기
제공된 곳이 없음: 1
Butterfly-Net: Spatial-temporal architecture for medical image segmentation
T Klymenko, ST Kim, K Lauber, C Kurz, G Landry, N Navab, S Albarqouni
ISBI, 616-620, 2021
재정 지원 요구사항 정책: Federal Ministry of Education and Research, Germany
제공된 곳이 있음: 6
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks
T Czempiel, M Paschali, M Keicher, W Simson, H Feussner, ST Kim, ...
MICCAI, 343-352, 2020
재정 지원 요구사항 정책: German Research Foundation
OperA: Attention-Regularized Transformers for Surgical Phase Recognition
T Czempiel, M Paschali, D Ostler, ST Kim, B Busam, N Navab
MICCAI, 604–614, 2021
재정 지원 요구사항 정책: German Research Foundation, Federal Ministry of Education and Research, Germany
Neural response interpretation through the lens of critical pathways
A Khakzar, S Baselizadeh, S Khanduja, C Rupprecht, ST Kim, N Navab
CVPR, 13528-13538, 2021
재정 지원 요구사항 정책: European Commission, UK Research & Innovation
Fine-grained neural network explanation by identifying input features with predictive information
Y Zhang, A Khakzar, Y Li, A Farshad, ST Kim, N Navab
NeurIPS 34, 20040-20051, 2021
재정 지원 요구사항 정책: Federal Ministry of Education and Research, Germany
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation
S Denner, A Khakzar, M Sajid, M Saleh, Z Spiclin, ST Kim, N Navab
MICCAI Workshop, 2020
재정 지원 요구사항 정책: Slovenian Research Agency
Longitudinal brain MR image modeling using personalized memory for Alzheimer’s disease
ST Kim, U Küçükaslan, N Navab
IEEE Access 9, 143212-143221, 2021
재정 지원 요구사항 정책: US National Institutes of Health
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