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Publications

Clinically proven by 7,310 spectral data collected from multi-sites

Real-time, In Vivo Skin Cancer Triage by Laser Induced Plasma Spectroscopy Combined with Deep Learning-based Diagnostic Algorithm

Sung Hyun Pyun, Wanki Min, Boncheol Goo, Samuel Seit, Anthony Azzi, David Yu-Shun Wong, Girish S. Munavalli, Chagn-Hun Huh, Chong-Hyun Won, Minsam Ko

Journal of the American Academy of Dermatology 2022

Clinical assessment of a real time, high performance skin cancer diagnostic device based on laser induced plasma spectroscopy and deep learning algorithm

Goo B.L., Munavalli G.S., Min W., Pyun S.H.

Lasers in Surgery and Medicine 2020, vol.52, S32 (S31-)

Presented in 40th ASLMS Annual Conference 2020 (Phoenix, US)

Clinical assessment of a real time, noninvasive, in vivo skin cancer diagnostic device based on laser spectroscopy and deep learning algorithm using aesthetic lasers

Munavalli G.S., Goo B.L., Huh C.-H., Min W., Pyun S.H.

Lasers in Surgery and Medicine 2019 vol.51, S31 (S9-)

Presented in 39th ASLMS Annual Conference 2019 (Denver, US)

Mapping of cutaneous melanoma by femtosecond laser-induced breakdown spectroscopy

Youngmin Moon, Jung Hyun Han, Jang-hee Choi, Sungho Shin, Yong-Chul Kim, Sungho Jeong

J. Biomed. Opt. 24(3), 031011 (2018), doi: 10.1117/1.JBO.24.3.031011.

Real time, non-invasive, in vivo skin cancer diagnostics based on laser spectroscopy and machine learning algorithms using aesthetic lasers

Pyun S.H., Min W., Loghdey S.

Lasers in Surgery and Medicine 2018 vol.50, No.4 (362-)

Presented in 38th ASLMS Annual Conference 2018 (Dallas, US)

Exploring Laser-Induced Breakdown Spectroscopy as a Potential Tool in Mohs Micrography: A Mini Review

Singh S, Desai R, Modi M, et al.

November 13, 2017 Cureus 9(11): e1842. DOI 10.7759/cureus.1842

Differentiation of cutaneous melanoma from surrounding skin using laser-induced breakdown spectroscopy

Jung Hyun Han, Youngmin Moon, Jong Jin Lee, Sujeong Choi, Yong-Chul Kim, and Sungho Jeong

Vol. 7, No. 1 | DOI:10.1364/BOE.7.000057 | BIOMEDICAL OPTICS EXPRESS 58

Pilot clinical study for quantitative spectral diagnosis of non- melanoma skin cancer

Narasimhan Rajaram, PhD, Jason S. Reichenberg, MD, Michael R. Migden, MD, Tri H. Nguyen, MD, James W. Tunnell, PhD

Lasers Surg Med. 2010 December ; 42(10): 716–727. doi:10.1002/lsm.21009.

Exploiting LIBS as a spectrochemical analytical technique in diagnosis of some types of human malignancies

A. El-Hussein, A.K. Kassem, H. Ismail, M.A. Harith

Talanta 82 (2010) 495–501

Non-invasive in-situ detection of malignant skin tissue and other abnormalities using portable LIBS system with fiber spectrometer and eye-safe erbium glass laser

Michael J. Myers, John D. Myers, Baoping Guo, Chengxin Yang, Christopher R. Hardy, Jeffrey A. Myers, Abbey G. Myers, Sean Christian

Presented SPIE Photonics West 2008, Biomedical Optics (BiOS) Conference # 6863-33, Optical Diagnostics and Sensing VIII

Real-time, In Vivo Skin Cancer Triage by Laser-Induced Plasma Spectroscopy Combined with Deep Learning-based Diagnostic Algorithm

Sung Hyun Pyun, PhD, Wanki Min, Boncheol Goo, MD, PhD, Samuel Seit, MBBS, Anthony Azzi, MBBS, MMed, David Yu-Shun Wong, MBBS, Girish S. Munavalli, MD, Chang-Hun Huh, MD, PhD, Chong-Hyun Won, MD, PhD, Minsam Ko, PhD

[Literature 1] Real-time, In Vivo Skin Cancer Triage by Laser-Induced Plasma Spectroscopy

Real-time, non-invasive, in-vivo skin cancer diagnostics based on laser spectroscopy and machine learning algorithms using aesthetic lasers

Sung Hyun Pyun, Wanki Min, Saleem Loghdey

Speclipse, Inc., Sunnyvale, CA; Integrated Specialist Healthcare, Miranda, NSW, Australia

2.Real-time, non-invasive, in-vivo skin cancer diagnostics based on laser spectroscopy and

Clinical Assessment of a real-time, non-invasive, in-vivo skin cancer diagnostic device based on laser spectroscopy and deep learning algorithm using aesthetic lasers

Girish S. Munavalli, Boncheol L. Goo, Chang-Hun Hun, Wanki Min, Sung Hyung Pyun Dermatology, Laser, and Vein Specialist of the Caroolinas, PLLC, Charlotte, NC; Speclipse, Inc. Sunnyvale, CA; Seoul National University Bundang Hospital, Seongnam, Gyeonggi, Korea

3.Clinical Assessment of a real-time, non-invasive, in-vivo skin cancer diagnostic device

Clinical assessment of a real time, high performance skin cancer diagnostic device based on laser induced plasma spectroscopy and deep learning algorithm

4.Clinical assessment of a real time, high performance skin cancer diagnostic device based

Publications

Clinically proven by 7,310 spectral data collected from multi-sites

Real-time, In Vivo Skin Cancer Triage by Laser Induced Plasma Spectroscopy Combined with Deep Learning-based Diagnostic Algorithm

Clinical assessment of a real time, high performance skin cancer diagnostic device based on laser induced plasma spectroscopy and deep learning algorithm

Clinical assessment of a real time, noninvasive, in vivo skin cancer diagnostic device based on laser spectroscopy and deep learning algorithm using aesthetic lasers

Mapping of cutaneous melanoma by femtosecond laser-induced breakdown spectroscopy

Real time, non-invasive, in vivo skin cancer diagnostics based on laser spectroscopy and machine learning algorithms using aesthetic lasers

Exploring Laser-Induced Breakdown Spectroscopy as a Potential Tool in Mohs Micrography: A Mini Review

Differentiation of cutaneous melanoma from surrounding skin using laser-induced breakdown spectroscopy

Pilot clinical study for quantitative spectral diagnosis of non- melanoma skin cancer

Exploiting LIBS as a spectrochemical analytical technique in diagnosis of some types of human malignancies

Non-invasive in-situ detection of malignant skin tissue and other abnormalities using portable LIBS system with fiber spectrometer and eye-safe erbium glass laser

Real-time, In Vivo Skin Cancer Triage by Laser-Induced Plasma Spectroscopy Combined with Deep Learning-based Diagnostic Algorithm

Real-time, non-invasive, in-vivo skin cancer diagnostics based on laser spectroscopy and machine learning algorithms using aesthetic lasers

Clinical Assessment of a real-time, non-invasive, in-vivo skin cancer diagnostic device based on laser spectroscopy and deep learning algorithm using aesthetic lasers

Clinical assessment of a real time, high performance skin cancer diagnostic device based on laser induced plasma spectroscopy and deep learning algorithm

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