Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, Furen Xiao

The demand for artificial intelligence (AI) in healthcare is rapidly increasing. However, significant challenges arise from data scarcity and privacy concerns, particularly in medical imaging. While existing generative models have achieved success in image synthesis and image-to-image translation tasks, there remains a gap in the generation of 3D semantic medical images. To address this gap, we introduce Med-DDPM, a diffusion model specifically designed for semantic 3D medical image synthesis, effectively tackling data scarcity and privacy issues.

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[1] Zolnamar Dorjsembe, Furen Xiao, " Synthetic Whole-Head MRI Brain Tumor Segmentation Dataset", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/3ej9-e459. Accessed: Jul. 15, 2024.
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doi = {10.21227/3ej9-e459},
url = {http://dx.doi.org/10.21227/3ej9-e459},
author = {Zolnamar Dorjsembe; Furen Xiao },
publisher = {IEEE Dataport},
title = { Synthetic Whole-Head MRI Brain Tumor Segmentation Dataset},
year = {2023} }
TY - DATA
T1 - Synthetic Whole-Head MRI Brain Tumor Segmentation Dataset
AU - Zolnamar Dorjsembe; Furen Xiao
PY - 2023
PB - IEEE Dataport
UR - 10.21227/3ej9-e459
ER -
Zolnamar Dorjsembe, Furen Xiao. (2023). Synthetic Whole-Head MRI Brain Tumor Segmentation Dataset. IEEE Dataport. http://dx.doi.org/10.21227/3ej9-e459
Zolnamar Dorjsembe, Furen Xiao, 2023. Synthetic Whole-Head MRI Brain Tumor Segmentation Dataset. Available at: http://dx.doi.org/10.21227/3ej9-e459.
Zolnamar Dorjsembe, Furen Xiao. (2023). " Synthetic Whole-Head MRI Brain Tumor Segmentation Dataset." Web.
1. Zolnamar Dorjsembe, Furen Xiao. Synthetic Whole-Head MRI Brain Tumor Segmentation Dataset [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/3ej9-e459
Zolnamar Dorjsembe, Furen Xiao. " Synthetic Whole-Head MRI Brain Tumor Segmentation Dataset." doi: 10.21227/3ej9-e459