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2019-2021 | Postdoctoral Research Associate, CAMP - Technische Universität München (TUM), Munich, Germany |
2014-2019 | Ph.D. Electrical Engineering,Image and Video Systems Laboratory, KAIST(Korea Advanced Institute of Science and Technology), South Korea
under the supervision of Prof. Dr. Yong Man Ro |
2015 | Visiting Researcher in Department of Electrical and Computer Engineering, University of Toronto, Canada
under the supervision of Prof. Dr. Konstantinos N. Plataniotis |
2012-2014 | M.S. Electrical Engineering,Image and Video Systems Laboratory, KAIST(Korea Advanced Institute of Science and Technology), South Korea
under the supervision of Prof. Dr. Yong Man Ro |
2008-2012 | B.S. Electrical Engineering, Korea University, South Korea |
Available |
2020 | |
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A. Ravi, S.T. Kim, F. Pfister, F. Pfister, N. Navab
Self-supervised out-of-distribution detection in brain CT scans The first two authors contributed equally. Medical Imaging meets NeurIPS? workshop (bib) |
M. Tirindelli, M. Victorova, J. Esteban, S.T. Kim, D. Navarro-Alarcon, Y.P. Zheng, N. Navab
Force Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level" IEEE Robotics and Automation Letters (presented at IROS2020) (bib) |
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S. Denner, A. Khakzar, M. Sajid, M. Saleh, Z. Spiclin, S.T. Kim, N. Navab
Spatio-temporal learning from longitudinal data for multiple sclerosis lesion segmentation The first two authors contributed equally. BrainLes? at International Conference on Medical Image Computing and Computer-Assisted Intervention. (bib) |
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T. Czempiel, M. Paschali, M. Keicher, W. Simson, H. Feußner, S.T. Kim, N. Navab
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (The pre-print is available currently online on arXiv) (bib) |
H. Lee, H. Lee, S.T. Kim, Y.M. Ro
Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack 31st British Machine Vision Virtual Conference (BMVC) (bib) |
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L.C.O. Tiong, S.T. Kim, Y.M. Ro
Multimodal facial biometrics recognition: Dual-stream convolutional neural networks with multi-feature fusion layers Image and Vision Computing (bib) |
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H. Lee, S.T. Kim, H. Lee, N. Navab, Y.M. Ro
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation The first two authors contributed equally. arXivPreprint:2005.10754 (bib) |
J.U. Kim, S.T. Kim, E.S. Kim, S.K. Moon, Y.M. Ro
Towards High-performance Objective Detection: Task-specific Design Considering Classification and Localization Separation 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2020. (bib) |
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S.T. Kim, F. Mustaq, N. Navab
Confident Coreset for Active Learning in Medical Image Analysis The first two authors contributed equally. arXiv:2004.02200. (bib) |
2019 | |
A. Khakzar, S. Baselizadeh, S. Khanduja, S.T. Kim, N. Navab
Explaining Neural Networks via Perturbing Important Learned Features pre-print version is available online at arXiv (bib) |
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H. Lee, S.T. Kim, J.Lee, Y.M. Ro
Realistic Breast Mass Generation through BIRADS Category 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019 (bib) |
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H. Lee, S.T. Kim, Y.M. Ro
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis MICCAI Workshop on Interpretability of Machine Intelligence in Medical Image Computing, Shenzhen, China, 2019 (bib) |
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H. Lee, S.T. Kim, Y.M. Ro
Building a Breast-Sentence Dataset: Its Usefulness for Computer-Aided Diagnosis International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, 2019 (bib) |
* S.T. Kim, Y.M. Ro. Attended relation feature representation of facial dynamics for facial authentication. IEEE Transactions on Information Forensics and Security 2019.
* H.J. Lee, S.T. Kim, H. Lee, Y.M. Ro. Lightweight and effective facial landmark detection using adversarial learning with face geometric map generative network. IEEE Transactions on Circuits and Systems for Video Technology 2019.
* S.T. Kim, Y.M. Ro. Facial dynamics interpreter network: What are the important relations between local dynamics for facial trait estimation?. European Conference on Computer Vision(ECCV), Munich, Germany, 2018.
* J. Lee, S.T. Kim, H. Lee, Y.M. Ro. Feature2Mass: Visual feature processing in latent space for realistic labeled mass generation. European Conference on Computer Vision Workshop, Munich, Germany, 2018.
* S.T. Kim, H.M. Lee, J.H. Lee, Y.M. Ro. Visually interpretable deep network for diagnosis of breast masses on mammograms. Physics in Medicine and Biology, 2018.
* S.T. Kim, H. Lee, H.G. Kim, Y.M. Ro. ICADx: Interpretable computer-aided diagnosis of breast masses. SPIE Medical Imaging, USA (Robert F. Wagner All Conference Best Student Paper Final Lists Award), 2018.
* D.H. Kim, S.T. Kim, J.M. Chang, Y.M. Ro. Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis. Physics in Medicine and Biology, 2017.
* S.T. Kim, D.H. Kim, Y.M. Ro. Detection of masses in digital breast tomosynthesis using complementary information of simulated projection. Medical Physics 2015.
* D.H. Kim, S.T. Kim, Y.M. Ro. Improving mass detection using combined feature representations from projection views and reconstructed volume of DBT and boosting based classification with feature selection. Physics in Medicine and Biology, 2015.
* D.H. Kim, S.T. Kim, Y.M. Ro. Feature extraction from bilateral dissimilarity in digital breast tomosynthesis reconstructed volume. IEEE International Conference on Image Processing, Quebec City, Canada (Best 10% paper), 2015.
* D.H. Kim, S.T. Kim, Y.M. Ro. Feature extraction from inter-view similarity of DBT projection views. SPIE Medical Imaging, Orlando, USA (Honorable Mentioned Poster Award), 2015.
* S.T. Kim, D.H. Kim, Y.M. Ro. Breast mass detection using slice conspicuity in 3D reconstructed digital breast volumes. Physics in Medicine and Biology, 2014.
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Title: | Dr. |
Circumference of your head (in cm): | |
Firstname: | Seong Tae |
Middlename: | |
Lastname: | Kim |
Picture: | |
Birthday: | 31.05.1989 |
Nationality: | Cosmopolitan |
Languages: | English |
Groups: | Surgical Workflow, Medical Imaging, Machine Learning for Medical Applications |
Expertise: | Surgical Workflow, Medical Imaging, Computer Vision |
Position: | Scientific Staff |
Status: | Active |
Emailbefore: | seongtae.kim |
Emailafter: | tum.de |
Room: | MI 03.13.056 |
Telephone: | +49 89 289 19405 |
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