Publications
Papers
Grouped by year, filtered by type and topic
Last checked Oct 26, 2026
Checked weekly and approved by the PI. Last checked Oct 26, 2026
Bold = current member, + co-first author, * corresponding author
21 papers
20265 papers
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21
“Few-label abdominal organ segmentation with slice-consistency priors”
N. Kim+, D. Choi+, H. Do*
Journal of Medical Image Computing, Vol. 14, No. 3, 2026.
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19
“Structure-aware denoising for quarter-dose abdominal CT”
J. Lee, S. Park, H. Do*
Physics in Synthetic Imaging, Vol. 9, No. 2, 2026.
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20
“Ranking slices for human review by calibrated segmentation uncertainty”
Y. Seo, S. Oh, H. Jung, H. Do*
Proc. International Workshop on Imaging AI Safety, pp. 112–121, 2026.
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18
“Evaluating slice-to-slice consistency of abdominal CT organ segmentation” (in Korean)
N. Kim, Y. Seo, H. Do*
Journal of the Korean Society of Medical Imaging AI, Vol. 7, No. 2, 2026.
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17
“A metric for small-vessel preservation in restored low-dose CT” (in Korean)
S. Park, J. Lee, H. Do*
Korean Image Processing Society Winter Conference, 2026.
20256 papers
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16
“Where does the model hesitate? Boundary uncertainty for organ masks”
Y. Seo, H. Jung, H. Do*
Journal of Trustworthy Medical AI, Vol. 3, No. 4, 2025.
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13
“Thin-vessel continuity loss for 3D aorta and branch segmentation”
D. Choi, N. Kim, H. Do*
Computerized Synthetic Imaging and Graphics, Vol. 101, 2025.
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15
“Scanner-robust kidney segmentation via intensity re-mapping”
J. Han, N. Kim, H. Do*
Proc. Asian Conference on Medical Imaging, pp. 45–54, 2025.
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14
“Projection-domain priors for low-dose reconstruction”
J. Lee, T. Moon, H. Do*
Proc. Workshop on Tomographic Reconstruction, pp. 201–208, 2025.
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12
“Review time under different uncertainty displays in reading-support screens” (in Korean)
H. Jung, S. Bae, H. Do*
Journal of the Korean HCI Society, Vol. 20, No. 1, 2025.
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11
“Effect of contour-correction tools on annotation time” (in Korean)
G. Yoon, N. Kim, H. Do*
Korean Society of Medical Informatics Spring Conference, 2025.
20245 papers
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10
“Uncertainty-guided restoration for reduced-dose CT”
J. Lee+, Y. Seo+, H. Do*
Physics in Synthetic Imaging, Vol. 7, No. 6, 2024.
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9
“Slice-to-volume consistency for semi-supervised liver segmentation”
N. Kim, D. Kang, H. Do*
Proc. International Conference on Medical Image Learning, pp. 330–339, 2024.
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8
“Calibrating segmentation networks with test-time slice shuffling”
I. Song, Y. Seo, H. Do*
Proc. Workshop on Uncertainty in Imaging, pp. 77–85, 2024.
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7
“Boundary-preservation metrics for low-dose CT denoising models” (in Korean)
C. Lim, J. Lee, H. Do*
Journal of the Korean Society of Medical Imaging AI, Vol. 5, No. 1, 2024.
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6
“Comparing label-efficient learning for abdominal organ segmentation” (in Korean)
H. Namgung, N. Kim, H. Do*
Korean Computer Congress, 2024.
20233 papers
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5
“A synthetic abdominal phantom benchmark for organ segmentation”
H. Do*, D. Kang, N. Kim
Journal of Medical Image Computing, Vol. 11, No. 4, 2023.
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4
“Noise-level conditioning for dose-adaptive CT denoising”
J. Lee, C. Lim, H. Do*
Proc. Asian Conference on Medical Imaging, pp. 12–20, 2023.
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3
“Comparing confidence calibration methods for medical image segmentation” (in Korean)
I. Song, H. Do*
Journal of the Korean Society of Medical Imaging AI, Vol. 4, No. 2, 2023.
20222 papers
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2
“Boundary-weighted training for small-organ segmentation in CT”
H. Do*, H. Namgung
Computerized Synthetic Imaging and Graphics, Vol. 97, 2022.
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1
“An open low-dose CT simulation tool and its use cases” (in Korean)
H. Do*, J. Lee
Korean Society of Radiological Imaging Conference, 2022.
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