E-LIB Suche - Ergebnisse für: Kim, Kyungdoc

1

Oncogenic signaling pathways and hallmarks of cancer in Kor..:

Moon, SeongRyeol ; Kim, Hee Joo ; Lee, Yeeun...
Computers in Biology and Medicine. 154 (2023) - p. 106602 , 2023

Link: https://doi.org/10.1016/..

2

Abstraction in Pixel-wise Noisy Annotations Can Guide Atten..:

, In: Medical Image Learning with Limited and Noisy Data; Lecture Notes in Computer Science,

Kim, Hyeongsub ; Kong, Seo Taek ; Lee, Hongseok.. - p. 23-31 , 2022

Link: https://doi.org/10.1007/..

3

Diagnostic and Prognostic Roles of CDX2 Immunohistochemical..:

Choi, Hong Bae ; Pyo, Jung-Soo ; Son, Soomin..
Diagnostics. 12 (2022) 3 - p. 757 , 2022

Link: https://doi.org/10.3390/..

4

Aggregation of cohorts for histopathological diagnosis with..:

Park, Jeonghyuk ; Chung, Yul Ri ; Kong, Seo Taek...
Scientific Reports. 11 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

5

A Deep Learning Model for Cell Growth Inhibition IC50 Predi..:

Joo, Minjae ; Park, Aron ; Kim, Kyungdoc...
International Journal of Molecular Sciences. 20 (2019) 24 - p. 6276 , 2019

Link: https://doi.org/10.3390/..

6

Deep-learning-based inverse design model for intelligent di..:

Kim, Kyungdoc ; Kang, Seokho ; Yoo, Jiho...
npj Computational Materials. 4 (2018) 1 - p. , 2018

Link: https://doi.org/10.1038/..

7

Multiple-choice knapsack-based heuristic algorithm for the ..:

, In: International journal of production research / Institution of Production Engineers ; American Institute of Industrial Engineers ; Society of Manufacturing Engineers

Kim, Kyungdoc ; Kim, Byung-in. (2014) 19 - p. 5675-5689

Copies: Zentrale;

8

Multiple-choice knapsack-based heuristic algorithm for the ..:

Kim, Kyungdoc ; Kim, Byung-In ; Cho, Hyunbo
International Journal of Production Research. 52 (2014) 19 - p. 5675-5689 , 2014

Link: https://doi.org/10.1080/..

9

Applying web services technology to implement distributed s..:

, In: Winter Simulation Conference,

Yoo, Taejong ; Kim, Kyungdoc ; Song, Sunyoung.. - p. 863-873 , 2009

Link: https://dl.acm.org/doi/1..

10

Diagnostic and Prognostic Roles of CDX2 Immunohistochemical..:

Choi, Hong Bae ; Pyo, Jung-Soo ; Son, Soomin..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947721/. , 2022

Link: http://www.ncbi.nlm.nih...

11

Aggregation of cohorts for histopathological diagnosis with..:

Park, Jeonghyuk ; Chung, Yul Ri ; Kong, Seo Taek...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7858624/. , 2021

Link: http://www.ncbi.nlm.nih...

12

A Deep Learning Model for Cell Growth Inhibition IC50 Predi..:

Joo, Minjae ; Park, Aron ; Kim, Kyungdoc...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941066/. , 2019

Link: http://www.ncbi.nlm.nih...

13

Pretrained Model Weights for TIGER Challenge by Team VUNO:

Sungduk Cho ; Donghee Kim ; Hyungjoon Jang..
doi:10.5281/zenodo.8112147. , 2023

Link: https://zenodo.org/recor..

14

Diagnostic and Prognostic Roles of CDX2 Immunohistochemical..:

Hong Bae Choi ; Jung-Soo Pyo ; Soomin Son..
Pathology and Molecular Diagnostics. , 2022

Link: https://doi.org/10.3390/..

15

Diagnostic and Prognostic Roles of CDX2 Immunohistochemical..:

Hong Bae Choi ; Jung-Soo Pyo ; Soomin Son..
https://www.mdpi.com/2075-4418/12/3/757. , 2022

Link: https://doi.org/10.3390/..