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Gene Kim

Gene Kim, PhD

Research Associate Professor, Department of Radiology

Keywords
dynamic contrast enhanced MRI, diffusion MRI, breast cancer, head and neck cancer, fat quantification, cancer, imaging
Summary

My research is focused on three major areas: (1) development of dynamic contrast enhanced (DCE) MRI methods for assessment of tumor treatment response, focusing particularly on the intercompartmental water exchange and cell membrane permeability; (2) extracellular space mapping using diffusion time dependency of MRI experiments in cancer and normal tissues including the brain, muscle, and breast; and (3) role of saturated fat in breast cancer development and progression using MR spectroscopic imaging methods.  

Phone

212-263-2717

Academic office

660 First Avenue

Fourth Floor

New York, NY 10016

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These focus areas and their associated publications are derived from medical subject headings from PubMed.
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Positions

Research Associate Professor, Department of Radiology at NYU Grossman School of Medicine

Graduate Education

PhD from University of Southern California

Bilateral gradient-echo spectroscopic imaging with correction of frequency variations for measurement of fatty acid composition in mammary adipose tissue

Baboli, Mehran; Storey, Pippa; Sood, Terlika Pandit; Fogarty, Justin; Moccaldi, Melanie; Lewin, Alana; Moy, Linda; Kim, Sungheon Gene

Magnetic resonance in medicine. 2021 Jul; 86(1):33-45

Measurement of cellular-interstitial water exchange time in tumors based on diffusion-time-dependent diffusional kurtosis imaging

Zhang, Jin; Lemberskiy, Gregory; Moy, Linda; Fieremans, Els; Novikov, Dmitry S; Kim, Sungheon Gene

NMR in biomedicine. 2021 Feb 25; e4496

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Shen, Yiqiu; Wu, Nan; Phang, Jason; Park, Jungkyu; Liu, Kangning; Tyagi, Sudarshini; Heacock, Laura; Kim, S Gene; Moy, Linda; Cho, Kyunghyun; Geras, Krzysztof J

Medical image analysis. 2020 Dec 16; 68:101908

Assessment of metastatic lymph nodes in head and neck squamous cell carcinomas using simultaneous 18F-FDG-PET and MRI

Chen, Jenny; Hagiwara, Mari; Givi, Babak; Schmidt, Brian; Liu, Cheng; Chen, Qi; Logan, Jean; Mikheev, Artem; Rusinek, Henry; Kim, Sungheon Gene

Scientific reports. 2020 11 27; 10(1):20764

Dynamic Contrast-Enhanced MRI Evaluation of Pathologic Complete Response in Human Epidermal Growth Factor Receptor 2 (HER2)-Positive Breast Cancer After HER2-Targeted Therapy

Heacock, Laura; Lewin, Alana; Ayoola, Abimbola; Moccaldi, Melanie; Babb, James S; Kim, Sungheon G; Moy, Linda

Academic radiology. 2020 May; 27(5):e87-e93

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Wu, Nan; Phang, Jason; Park, Jungkyu; Shen, Yiqiu; Huang, Zhe; Zorin, Masha; Jastrzebski, Stanislaw; Fevry, Thibault; Katsnelson, Joe; Kim, Eric; Wolfson, Stacey; Parikh, Ujas; Gaddam, Sushma; Lin, Leng Leng Young; Ho, Kara; Weinstein, Joshua D; Reig, Beatriu; Gao, Yiming; Pysarenko, Hildegard Toth Kristine; Lewin, Alana; Lee, Jiyon; Airola, Krystal; Mema, Eralda; Chung, Stephanie; Hwang, Esther; Samreen, Naziya; Kim, S Gene; Heacock, Laura; Moy, Linda; Cho, Kyunghyun; Geras, Krzysztof J

IEEE transactions on medical imaging. 2020 Apr; 39(4):1184-1194

Assessment of tumor treatment response using active contrast encoding (ACE)-MRI: Comparison with conventional DCE-MRI

Zhang, Jin; Winters, Kerryanne; Kiser, Karl; Baboli, Mehran; Kim, Sungheon Gene

PLoS one. 2020 Jun; 15(6):e0234520

Prediction of distant metastases in patients with squamous cell carcinoma of head and neck usingDWIandDCE-MRI

Chawla, Sanjeev; Kim, Sungheon G.; Loevner, Laurie A.; Wang, Sumei; Mohan, Suyash; Lin, Alexander; Poptani, Harish

Head & neck. 2020;

See All Publications (78)

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