DGIST Scholar: 2. Conference Papers

Department of Robotics and Mechatronics Engineering Medical Image & Signal Processing Lab

2. Conference Papers18

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2023-06-20	ABCD : Arbitrary Bitwise Coefficient for De-quantization Han, Woo Kyoung ; Lee, Byeonghun ; Park, Sang Hyun ; Jin, Kyong Hwan Computer Vision and Pattern recognition, pp.5876 - 5885, 2023-06-20	61
2023-10-09	PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation Nam, Siwoo ; Jeong, Jaehoon ; Luna, Acevedo Miguel Andres ; Chikontwe, Philip ; Park, Sang Hyun International Conference on Medical Image Computing and Computer Assisted Intervention, pp.528 - 538, 2023-10-09	32
2023-10-10	One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation Kang, Myeongkyun ; Chikontwe, Philip ; Kim, Soopil ; Jin, Kyong Hwan ; Adeli, Ehsan ; Pohl, Kilian M. ; Park, Sang Hyun International Conference on Medical Image Computing and Computer Assisted Intervention, pp.521 - 531, 2023-10-10	62
2023-10-11	Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model Peng, Wei ; Adeli, Ehsan ; Bosschieter, Tomas ; Park, Sang Hyun ; Zhao, Qingyu ; Pohl, Kilian M. International Conference on Medical Image Computing and Computer Assisted Intervention, pp.14 - 24, 2023-10-11	31
2021-02-02	Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation Kim, Soopil ; An, Sion ; Chikontwe, Philip ; Park, Sang Hyun AAAI Conference on Artificial Intelligence, pp.1808 - 1816, 2021-02-02	9
2021-09-29	Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation Jung, Euijin ; Luna, Acevedo Miguel Andres ; Park, Sang Hyun International Conference on Medical Image Computing and Computer Assisted Intervention, pp.318 - 328, 2021-09-29	9
2021-10-01	Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing Kang, Myeongkyun ; Chikontwe, Philip ; Luna, Acevedo Miguel Andres ; Hong, Kyung Soo ; Ahn, June Hong ; Park, Sang Hyun 4th International Workshop on Predictive Intelligence in Medicine, PRIME 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, pp.37 - 46, 2021-10-01	10
2022-03-31	A Meta-Learning Approach for Medical Image Registration Park, Heejung ; Lee, Gyeong Min ; Kim, Soopil ; Ryu, Ga Hyung ; Jeong, Areum ; Sagong, Min ; Park, Sang Hyun 19th IEEE International Symposium on Biomedical Imaging (IEEE ISBI), 2022-03-31	8
2022-06-23	CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Chikontwe, Philip ; Kim, Soopil ; Park, Sang Hyun Computer Vision and Pattern recognition, pp.14534 - 14543, 2022-06-23	7
2022-09-20	Feature Re-calibration Based Multiple Instance Learning for Whole Slide Image Classification Chikontwe, Philip ; Nam, Soo Jeong ; Go, Heounjeong ; Kim, Meejeong ; Sung, Hyun Jung ; Park, Sang Hyun International Conference on Medical Image Computing and Computer Assisted Intervention, pp.420 - 430, 2022-09-20	7
2022-09-22	Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor Nam, Siwoo ; Kang, Myeongkyun ; Won, Dongkyu ; Chikontwe, Philip ; Noh, Byeong-Joo ; Go, Heounjeong ; Park, Sang Hyun 5th International Workshop on Predictive Intelligence in Medicine (PRIME MICCAI), pp.115 - 125, 2022-09-22	8
2022-10-23	A Deep Learning Technique as a Sensor Fusion for Enhancing the Position in a Virtual Reality Micro-Environment Prieto Prada, John David ; Luna, Acevedo Miguel Andres ; Park, Sang Hyun ; Song, Cheol IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.4935 - 4950, 2022-10-23	11
2020-10-05	Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands Won, Dongkyu ; An, Sion ; Park, Sang Hyun ; Ye, Dong Hye 3rd International Workshop on Predictive Intelligence in Medicine (PRIME), pp.68 - 78, 2020-10-05	387
2020-10-17	Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction Kim, Soopil ; Luna, Acevedo Miguel Andres ; Chikontwe, Philip ; Park, Sang Hyun International Conference on Medical Image Computing and Computer Assisted Interventions, pp.200 - 209, 2020-10-17	416
2020-10-05	Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer’s Diseases Jung, Euijin ; Luna, Acevedo Miguel Andres ; Park, Sang Hyun 3rd International Workshop on Predictive Intelligence in Medicine (PRIME), pp.79 - 90, 2020-10-05	401
2020-10-05	Unsupervised Learning Model for Registration of Multi-phase Ultra-Widefield Fluorescein Angiography Lee, Gyoeng Min ; Seo, Kwang Deok ; Song, Hye Ju ; Park, Dong Geun ; Ryu, Ga Hyung ; Sagong, Min ; Park, Sang Hyun International Conference on Medical Image Computing and Computer Assisted Interventions, pp.201 - 210, 2020-10-05	364
2020-10-05	Multiple Instance Learning with Center Embeddings for Histopathology Classification Chikontwe, Philip ; Kim, Meejeong ; Nam, Soojeong ; Go, Heounjeong ; Park, Sang Hyun International Conference on Medical Image Computing and Computer Assisted Interventions, pp.519 - 528, 2020-10-05	535
2019-10-13	Catheter synthesis in X-Ray fluoroscopy with generative adversarial networks Ullah, Ihsan ; Chikontwe P. ; Park, Sang Hyun International Conference on Medical Image Computing and Computer Assisted Interventions, pp.125 - 133, 2019-10-13	625

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