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Soopil Kim

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|June 28, 2023
Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery ClassificationSion An, Soopil Kim, Philip Chikontwe, et al.
Computers in Biology and Medicine|November 11, 2025
MOSInversion: Knowledge distillation-based incremental learning in organ segmentation using DeepInversionJihyeon Kim, Gyeongmin Lee, Seung Yeon Shin, et al.
Medical Image Analysis|July 17, 2025
Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptationMyeongkyun Kang, Philip Chikontwe, Soopil Kim, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 11, 2024
One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model AdaptationMyeongkyun Kang, Philip Chikontwe, Soopil Kim, et al.
Medical Image Analysis|April 11, 2024
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasetsSoopil Kim, Heejung Park, Myeongkyun Kang, et al.
IEEE Transactions on Medical Imaging|March 3, 2025
Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image SynthesisSoopil Kim, Heejung Park, Philip Chikontwe, et al.
Brain Tumor Research and Treatment|May 12, 2020
Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma GradeSoopil Kim, Yae Won Park, Sang Hyun Park, et al.
European Radiology|April 11, 2020
Magnetic resonance imaging-based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma gradeYae Won Park, Soopil Kim, Sung Soo Ahn, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|June 28, 2023
Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery ClassificationSion An, Soopil Kim, Philip Chikontwe, et al.
Computers in Biology and Medicine|November 11, 2025
MOSInversion: Knowledge distillation-based incremental learning in organ segmentation using DeepInversionJihyeon Kim, Gyeongmin Lee, Seung Yeon Shin, et al.
Medical Image Analysis|July 17, 2025
Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptationMyeongkyun Kang, Philip Chikontwe, Soopil Kim, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 11, 2024
One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model AdaptationMyeongkyun Kang, Philip Chikontwe, Soopil Kim, et al.
Medical Image Analysis|April 11, 2024
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasetsSoopil Kim, Heejung Park, Myeongkyun Kang, et al.
IEEE Transactions on Medical Imaging|March 3, 2025
Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image SynthesisSoopil Kim, Heejung Park, Philip Chikontwe, et al.
Brain Tumor Research and Treatment|May 12, 2020
Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma GradeSoopil Kim, Yae Won Park, Sang Hyun Park, et al.
European Radiology|April 11, 2020
Magnetic resonance imaging-based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma gradeYae Won Park, Soopil Kim, Sung Soo Ahn, et al.
Pageof 1