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Nuclear Medicine and Molecular Imaging|March 1, 2021
Recent Progress in the Molecular Imaging of Tumor-Treating BacteriaSae-Ryung Kang, Jung-Joon Min
Nuclear Medicine and Molecular Imaging|May 10, 2021
Correction to: Recent Progress in the Molecular Imaging of Tumor-Treating BacteriaSae-Ryung Kang, Jung-Joon Min
BMC Bioinformatics|February 7, 2023
Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patientsSeungwon Oh, Sae-Ryung Kang, In-Jae Oh, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 14, 2026
AttCo: Attention-based co-Learning fusion of deep feature representation for medical image segmentation using multimodalityDuy-Phuong Dao, Hyung-Jeong Yang, Soo-Hyung Kim, et al.
Advanced Drug Delivery Reviews|December 21, 2021
Bacteria and bacterial derivatives as delivery carriers for immunotherapySae-Ryung Kang, Dinh-Huy Nguyen, Su Woong Yoo, et al.
Advanced Drug Delivery Reviews|June 2, 2022
Molecular imaging approaches to facilitate bacteria-mediated cancer therapySu Woong Yoo, Seong Young Kwon, Sae-Ryung Kang, et al.
Healthcare (Basel, Switzerland)|April 28, 2023
Survival Prediction Using Transformer-Based Categorical Feature Representation in the Treatment of Diffuse Large B-Cell LymphomaSudarshan Pant, Sae-Ryung Kang, Minhee Lee, et al.
Frontiers in Oncology|October 18, 2021
Effects of Multiple Filters on Liver Tumor Segmentation From CT ImagesVi Thi-Tuong Vo, Hyung-Jeong Yang, Guee-Sang Lee, et al.
Computer Methods and Programs in Biomedicine|March 8, 2024
A comparison between centralized and asynchronous federated learning approaches for survival outcome prediction using clinical and PET data from non-small cell lung cancer patientsVi Thi-Tuong Vo, Tae-Ho Shin, Hyung-Jeong Yang, et al.
Annals of Hematology|September 25, 2013
Clinical implication of F-18 FDG PET/CT in patients with secondary hemophagocytic lymphohistiocytosisJahae Kim, Su Woong Yoo, Sae-Ryung Kang, et al.
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