Dosik Hwang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
3
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction. | Jinho Joo, Hyeseong Kim, Hyeyeon Won, Deukhee Lee, Taejoon Eo, Dosik Hwang |
| 2025 | CVPR | Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image Captioning. | Jeong Ryong Lee, Yejee Shin, Geonhui Son, Dosik Hwang |
| 2025 | CVPR | Anatomical Consistency and Adaptive Prior-informed Transformation for Multi-contrast MR Image Synthesis via Diffusion Model. | Yejee Shin, Yeeun Lee, Hanbyol Jang, Geonhui Son, Hyeongyu Kim, Dosik Hwang |
| 2025 | MICCAI | Physics-Driven Signal Regularization in Diffusion Models for Multi-contrast MR Image Synthesis. | Yejee Shin, Yunsu Byeon, Geonhui Son, Hanbyol Jang, Dosik Hwang, Sewon Kim |
| 2024 | AAAI | Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales. | Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, Jinyoung Yeo |
| 2024 | MICCAI | LLM-Guided Multi-modal Multiple Instance Learning for 5-Year Overall Survival Prediction of Lung Cancer. | Kyungwon Kim, Yongmoon Lee, Doohyun Park, Taejoon Eo, Daemyung Youn, Hyesang Lee, Dosik Hwang |
| 2023 | CVPR | SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. | Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang |
| 2023 | MICCAI | M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography. | Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang |
| 2023 | MICCAI | DiMix: Disentangle-and-Mix Based Domain Generalizable Medical Image Segmentation. | Hyeongyu Kim, Yejee Shin, Dosik Hwang |
| 2023 | MICCAI | Position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation. | Hyeongyu Kim, Yejee Shin, Dosik Hwang |
| 2022 | CVPR | M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer. | Jinseong Jang, Dosik Hwang |
| 2022 | MICCAI | Digestive Organ Recognition in Video Capsule Endoscopy Based on Temporal Segmentation Network. | Yejee Shin, Taejoon Eo, Hyeongseop Rha, Dong Jun Oh, Geonhui Son, Jiwoong An, You Jin Kim, Dosik Hwang, Yun Jeong Lim |
| 2021 | CVPR | Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI. | Yohan Jun, Hyungseob Shin, Taejoon Eo, Dosik Hwang |
| 2021 | CVPR | Relevance-CAM: Your Model Already Knows Where To Look. | Jeong Ryong Lee, Sewon Kim, Inyong Park, Taejoon Eo, Dosik Hwang |
| 2021 | MICCAI | Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. | Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schlke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll |
| 2018 | MICCAI | Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging. | Taejoon Eo, Hyungseob Shin, Taeseong Kim, Yohan Jun, Dosik Hwang |