Dr. Michelle Miran Kim Profile

Dr. Michelle Miran Kim

Asst Prof at Michigan Medicine

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Author

Publications (3)

Proceedings Article | 7 April 2023 Poster + Paper

The importance of data domain on self-supervised learning for brain metastasis detection and segmentation

Youngjin Yoo, Gengyan Zhao, Andreea Sandu, Thomas Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James Balter, Yue Cao, Eli Gibson, Dorin Comaniciu

Proceedings Volume 12465, 1246529 (2023) https://doi.org/10.1117/12.2653909

KEYWORDS: Data modeling, Performance modeling, 3D modeling, Brain, Cancer detection, Image segmentation, Magnetic resonance imaging, Neuroimaging

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Proceedings Article | 3 April 2023 Presentation + Paper

3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation

Gengyan Zhao, Youngjin Yoo, Thomas Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James Balter, Yue Cao, Eli Gibson, Dorin Comaniciu

Proceedings Volume 12464, 124640J (2023) https://doi.org/10.1117/12.2654281

KEYWORDS: Realistic image synthesis, Deep learning, Machine learning, Computer vision technology, Brain, Convolution, Magnetic resonance imaging, Neuroimaging, Image segmentation, Tumors

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SPIE Journal Paper | 15 November 2017

Tumor image signatures and habitats: a processing pipeline of multimodality metabolic and physiological images

Daekeun You, Michelle Kim, Madhava Aryal, Hemant Parmar, Morand Piert, Theodore Lawrence, Yue Cao

JMI, Vol. 5, Issue 01, 011009, (November 2017) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.011009

KEYWORDS: Tumors, Image processing, Diffusion weighted imaging, Magnetic resonance imaging, Positron emission tomography, Gadolinium, Genomics, Biological research, Scanners, Image analysis

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