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Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.

Z. Liu, A. Zhong, Y. Li, L. Yang, C. Ju, Z. Wu, C. Ma, P. Shu, C. Chen, S. Kim, H. Dai, L. Zhao, D. Zhu, J. Liu, W. Liu, D. Shen, Q. Li, T. Liu, and X. Li. MLMI@MICCAI (1), volume 14348 of Lecture Notes in Computer Science, page 464-473. Springer, (2023)

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Ky ng Kim

Die Artikelstruktur in passiven zweisprachigen Wörterbüchern Deutsch-Koreanisch: Konzeption zur Erstellung eines zweisprachigen Lernerwörterbuchs Deutsch-KoreanischK. Kim. Uni Heidelberg, (2008)

Kim Kressel

Sangho Kim

Kim Redecker

Youngmin Kim

Other publications of authors with the same name

Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images.S. Kim, Y. Jang, B. Jeon, Y. Hong, H. Shim, and H. Chang. CVII-STENT/LABELS@MICCAI, volume 11043 of Lecture Notes in Computer Science, page 161-168. Springer, (2018)Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.Z. Liu, A. Zhong, Y. Li, L. Yang, C. Ju, Z. Wu, C. Ma, P. Shu, C. Chen, S. Kim and 9 other author(s). MLMI@MICCAI (1), volume 14348 of Lecture Notes in Computer Science, page 464-473. Springer, (2023)Radiology-Llama2: Best-in-Class Large Language Model for Radiology.Z. Liu, Y. Li, P. Shu, A. Zhong, L. Yang, C. Ju, Z. Wu, C. Ma, J. Luo, C. Chen and 11 other author(s). CoRR, (2023)Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI.Y. Jang, S. Kim, H. Shim, and H. Chang. STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 476-483. Springer, (2018)Cardiac Magnetic Resonance 2D+T Short- and Long-axis Segmentation via Spatio-temporal SAM Adaptation.Z. Chen, S. Kim, H. Ren, Q. Li, and X. Li. CoRR, (2024)Automatic Segmentation of LV and RV in Cardiac MRI.Y. Jang, Y. Hong, S. Ha, S. Kim, and H. Chang. STACOM@MICCAI, volume 10663 of Lecture Notes in Computer Science, page 161-169. Springer, (2017)Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction.S. Kim, Z. Jiang, B. Zambrano, Y. Jang, S. Baek, S. Yoo, and H. Chang. IEEE Trans. Medical Imaging, 42 (1): 196-208 (2023)Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification.J. Jeon, Y. Jang, Y. Hong, H. Shim, and S. Kim. CoRR, (2022)Radiology-GPT: A Large Language Model for Radiology.Z. Liu, A. Zhong, Y. Li, L. Yang, C. Ju, Z. Wu, C. Ma, P. Shu, C. Chen, S. Kim and 9 other author(s). CoRR, (2023)Coronary luminal and wall mask prediction using convolutional neural network.Y. Hong, Y. Hong, Y. Jang, S. Kim, B. Jeon, S. Jung, S. Ha, D. Han, H. Shim, and H. Chang. ISBI, page 1049-1052. IEEE, (2017)

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Disambiguation of "Kim, Sekeun"

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Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.

Please choose a person to relate this publication to

Ky ng Kim

Kim Kressel

Sangho Kim

Kim Redecker

Youngmin Kim

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kim, Sekeun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.

Please choose a person to relate this publication to

Ky ng Kim

Kim Kressel

Sangho Kim

Kim Redecker

Youngmin Kim

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.