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Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models


Apr 04, 2021
Ashkan Khakzar, Sabrina Musatian, Jonas Buchberger, Icxel Valeriano Quiroz, Nikolaus Pinger, Soroosh Baselizadeh, Seong Tae Kim, Nassir Navab


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Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features


Apr 01, 2021
Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab


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Neural Response Interpretation through the Lens of Critical Pathways


Mar 31, 2021
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab

* Accepted at CVPR 2021 (IEEE/CVF Conference on Computer Vision and Pattern Recognition) 

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GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images


Mar 19, 2021
Aadhithya Sankar, Matthias Keicher, Rami Eisawy, Abhijeet Parida, Franz Pfister, Seong Tae Kim, Nassir Navab

* 12 pages, 7 figures 

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Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs


Mar 12, 2021
Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler

* 10 pages, 2 figures 

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OperA: Attention-Regularized Transformers for Surgical Phase Recognition


Mar 05, 2021
Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab

* 10 pages, 3 figures 

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Self-Supervised Out-of-Distribution Detection in Brain CT Scans


Nov 10, 2020
Abinav Ravi Venkatakrishnan, Seong Tae Kim, Rami Eisawy, Franz Pfister, Nassir Navab

* Accepted at Medical Imaging Meets NeurIPS Workshop at NeurIPS 2020 

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Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation


May 22, 2020
Hong Joo Lee, Seong Tae Kim, Hakmin Lee, Nassir Navab, Yong Man Ro


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Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack


May 21, 2020
Hakmin Lee, Hong Joo Lee, Seong Tae Kim, Yong Man Ro


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Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation


Apr 07, 2020
Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong Tae Kim, Nassir Navab


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Confident Coreset for Active Learning in Medical Image Analysis


Apr 05, 2020
Seong Tae Kim, Farrukh Mushtaq, Nassir Navab

* 10 pages, 4 figures 

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TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks


Mar 24, 2020
Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab

* 10 pages, 2 figures 

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Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level"


Feb 26, 2020
Maria Tirindelli, Maria Victorova, Javier Esteban, Seong Tae Kim, David Navarro-Alarcon, Yong Ping Zheng, Nassir Navab

* Under Review in IEEE Robotics and Automation Letters (RA-L) with IROS 2020 

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Explaining Neural Networks via Perturbing Important Learned Features


Nov 25, 2019
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Seong Tae Kim, Nassir Navab


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Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis


Jun 10, 2019
Hyebin Lee, Seong Tae Kim, Yong Man Ro


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Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation


Sep 17, 2018
Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro

* This paper presented at ECCV 2018 Workshop 

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Facial Dynamics Interpreter Network: What are the Important Relations between Local Dynamics for Facial Trait Estimation?


Jul 24, 2018
Seong Tae Kim, Yong Man Ro

* Accepted by ECCV2018 

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ICADx: Interpretable computer aided diagnosis of breast masses


May 23, 2018
Seong Tae Kim, Hakmin Lee, Hak Gu Kim, Yong Man Ro

* This paper was presented at SPIE Medical Imaging 2018, Houston, TX, USA 

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Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data


Dec 29, 2017
Geonmo Gu, Seong Tae Kim, Kihyun Kim, Wissam J. Baddar, Yong Man Ro

* 20 pages 

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Convolution with Logarithmic Filter Groups for Efficient Shallow CNN


Sep 14, 2017
Tae Kwan Lee, Wissam J. Baddar, Seong Tae Kim, Yong Man Ro

* 8 pages, 4 figures, 3 tables. Changes in abstract, result representations and typo corrections 

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EvaluationNet: Can Human Skill be Evaluated by Deep Networks?


May 31, 2017
Seong Tae Kim, Yong Man Ro

* 8 pages, 6 figures 

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