Joe YEH

Joe Yeh

Taiwan

CEO

aetherAI

Dr. Joe Yeh received his M.D degree from National Taiwan University. After medical school, he spent a year working on reconstructing the wiring diagram of fruit fly brain in the Brain Center of National Tsin-Hua University. He later went to University of Southern California for Ph.D. program in pathology, where he discovered his passion for computer programming and image analysis when he learned to apply advanced light microscopy techniques to investigate the cellular dynamics of embryonic development. Inspired by the power of computer algorithms to perform fast and accurate image analysis and its potential to improve healthcare, he left academia and founded aetherAI. aetherAI is now a leading digital pathology AI company in Taiwan, working with top medical centers to develop AI algorithms to help pathologists to achieve faster and more accurate diagnosis. He also lectured on application of deep learning in medical image analysis at National Taiwan University.

Medical Imaging, Image Analysis, Artificial Intelligence

M.D., National Taiwan University

2019 100 MVP Manager 2019 Taiwan Ministry of Economic Affairs Startup Award Gold Medal 2019 Taiwan Ministry of Science and Technology 10 Coolest Startups 2018 Meet Neo Star Top Prize 2018 nVIDIA Inception Award 2018 TIEC Silicon Valley Award, Taiwan Ministry of Science and Technology

1. Huang SC, Chen CC, Lan J, Hsieh YU, Chuang HC, Chien MY, Ou TS, Chen KH, Wu RC, Liu YJ, Cheng CT, Huang YJ, Tai LW, Hwu AF, Lin IC, Hung SH, Yeh CY*, Chen TC*. (2022) Deep neural network trained on gigapixel images improves lymph metastasis detection in clinical settings. Nat. Commun. 13, 3347 (* corresponding author) 2. Chuang WT, Chen CC, Yu WH, Yeh CJ, Chang SH, Ueng SH, Wang TH, Hsueh C, Kuo CF, Yeh CY*. (2021) Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images. Mod. Pathol. 34:1901-1911 (* corresponding author) 3. Yeh YC, Weng CH, Huang YJ, Fu CJ, Tsai TT*, Yeh CY*. (2021) Deep learning approach for automatic landmark detection and alignment analysis in whole-spine lateral radiographs. Sci. Rep. 11, 7618 (* corresponding author) 4. Chen CL, Chen CC, Yu WH, Chen SH, Chang YC, Hsu TI, Hsiao M, Yeh CY*, Chen CY*. (2021) An annotation-free whole slide training approach to pathological classification of lung cancer types using deep learning. Nat. Commun. 12, 1193 (* corresponding author) 5. Zhao ZX, Wu CM, Zhang SP, He FP, Liu FF, Wang B, Huang YX, Shi W, Jian D, Xie HF, Yeh CY*, Li J*. (2021) A novel convolutional neural network for the diagnosis and classification of rosacea: usability study. JMIR Med. Inform. 9(3):e23415 (* corresponding author) 6. Pantanowitz L, Wu U, Seigh L, LoPresti E, Yeh FC, Salgia P, Michelow P, Hazelhurst S, Chen WY, Hartman D, Yeh CY. (2021) Artificial intelligence-based screening for Mycobacteria in whole-slide images of tissue samples. Am. J. Clin. Pathol. aqaa215 7. Yeh CY, Yu WH, Yang CK, Chien LI, Lin KH, Huang WS, Hsu PK. (2021) Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural network. Ann. Transl. Med. 9(1): 37 8. Liang YC, Wu P, Lin GW, Chen CK, Yeh CY, Tsai S, Yan J, Jiang TX, Lai YC, Huang D, Cai MY, Choi R, Widelitz RB, Lu WG, Chuong CM. (2020) Folding keratin gene cluster during skin regional specification. Dev. Cell 53(5):561-576 9. Kumar N, Verma R, Anand D, Zhou Y, Onder OF, Tsougenis E, Chen H, Heng PA, Li J, Hu Z, Wang Y, Koohbanani NA, Jahanifar M, Tajeddin NZ, Gooya A, Rajpoot N, Ren X, Zhou S, Wang Q, Shen D, Yang CK, Weng CH, Yu WH, Yeh CY, Yang S, Shuoyu Xu S, Yeung PH, Sun P, Mahbod A, Schaefer G, Ellinger I, Ecker R, Smedby O, Wang CL, Chidester B, Ton TV, Tran MT, Ma J, Do MN, Graham S, Vu QD, Kwak JT, Gunda A, Chunduri R, Hu C, Zhou X, Lotfi D, Safdari R, Kascenas A, O’Neil A, Eschweiler D, Stegmaier J, Cui YP, Yin BC, Chen KL, Tian XM, Gruening P, Barth E, Arbel E, Remer I, Ben-Dor A, Sirazitdinova E, Kohl M, Braunewell S, Li YX, Xie XP, Shen LL, Ma J, Baksi KD, Khan MA, Choo J, Colomer A, Naranjo V, Pei L, Iftekharuddin KM, Roy K, Bhattacharjee D, Pedraza A, Bueno MG, Devanathan S, Radhakrishnan S, Koduganty P, Wu ZH, Cai GY, Liu XJ, Wang YQ, Sethi A. (2020) A multi-organ nucleus segmentation challenge. IEEE Trans. Med. Imag. 39(5):1380-1391 10. Chuang WY, Chang SH, Yu WH, Yang CK, Yeh CJ, Ueng SH, Liu YJ, Chen TD, Chen KH, Hsieh YY, Hsia Y, Wang TH, Hsueh C, Kuo CF, Yeh CY*. (2020) Successful identification of nasopharyngeal carcinoma in nasopharyngeal biopsies using deep learning. Cancers 12(2):507-517 (*corresponding author) 11. Chen CC, Chuang WY, Yu WH, Lin HC, Wang ST, Kuo FA, Chuang CC, Yeh CY. (2019) Training deep neural networks directly on hundred-million-pixel histopathology images on large scale GPU cluster. Supercomputing 12. Yu TC, Chou WC, Yeh CY, Yang CK, Huang SC, Tien FM, Yao CY, Cheng CL, Chuang MK, Tien HF, Zhang QY, Hsu WH, Chou SC. (2019) Automatic bone marrow cell identification and classification by deep neural network. Blood 134(S1):2084 13. Weng CH, Wang, CL, Huang YJ, Yeh YC, Fu CJ, Yeh CY*, Tsai TT*. (2019) Artificial intelligence for automatic measurement of sagittal vertical axis using ResUNet framework. J. Clin. Med. 8(11):1826 (*corresponding author) 14. Yang CK, Yeh CY, Yu WH, Chien LI, Lin KH, Huang WS, Hsu PK. (2019) Deep convolutional neural network-based positron emission tomography analysis predicts esophageal cancer outcome. J. Clin. Med. 8(6):844 15. Wu XS*, Yeh CY*, Harn HIC, Jiang TX, Wu P, Widelitz RB, Baker RE, Chuong CM. (2019) Self-assembly of biological networks via adaptive patterning revealed by avian intra-dermal muscle network formation. Proc. Natl. Acad. Sci. 116(22):10858-10867 (*equal contribution to the work) 16. Weber EL, Wooley TE, Yeh CY, Ou KL, Maini PK, Chuong CM. (2019) Self-organizing hair peg-like structures from dissociated skin progenitor cells: New insights for human hair follicle organoid engineering and Tuning patterning in an asymmetric morphogenetic field. Exp. Derm. Doi:10.1111/exd.13891 17. Li A, Cho JH, Reid B, Tseng CC, He L, Tan P, Yeh CY, Wu P, Li Y, Widelitz RB,Zhou Y, Zhao M, Chow RH, Chuong CM. (2018) Calcium oscillations coordinate feather mesenchymal cell movement by SHH dependent modulation of gap junction networks. Nat. Comm. 9(1): 5377 18. Yu JY, Kim S, Shim YB, Holland DB, Allodi MA, Yeh CY, Blake GA, Han YG, Guo CL. (2018) Fiber-bundle illumination: realizing high-degree time-multiplexed multifocal multiphoton microscopy with simplicity. Sci. Rep. 8(1):14863 19. Chen TC*, Yeh CY*, Lin CW, Yang CH, Lin IH, Hsu HM, Yang CH, Chen PY, Cheng JY, Jou JR, Hu FR. (2017) Vascular hypoperfusion in acute optic neuritis as a potentially new neurovascular model of demyelinating diseases. PLOS One 12(9):e0184927 (*equal contribution to the work) 20. Zhuo GY, Chen MY, Yeh CY, Guo CL, Kao FJ. (2017) Fast determination of three-dimensional fibril orientation of type-I collagen via macroscopic chirality. Appl. Phys. Lett. 110, 023702 21. Lei MX, Schumacher L, Lai YC, Juan WT, Yeh CY, Wu P, Jiang TX, Baker RE, Widelitz RB, Yang L, Chuong CM. (2017) Self-organization process in newborn skin organoid formation inspires novel strategy to restore hair regeneration of adult cells. Proc. Natl. Acad. Sci. 114(34):7101-7110 22. Tsai TY, Chen TC, Wang IJ, Yeh CY, Su MJ, Chen RH, Tsai TH, Hu FR. (2015) The effect of resveratrol on protecting corneal epithelial cells from cytotoxicity caused by moxifloxacin and benzalkonium chloride. Invest Ophthalmol Vis Sci. 10;56(3):1575-84 23. Lin SJ, Foley J, Jiang TX, Yeh CY, Wu P, Foley A, Yen CM, Huang YC, Cheng HC, Chen CD, Reeder B, Jee SH, Widelitz R, Chuong CM. (2013) Topology of feather melanocyte progenitor niche allows complex pigment patterns to emerge. Science. 340(6139):1442-1445 24. Chuong CM, Yeh CY, Jiang TX, Widelitz R. (2013) Module-based complexity formation: periodic patterning in feathers and hairs. Wiley Interdiscip Rev Dev Biol. 2:97-112 25. Chiang AS, Lin CY, Chuang CC, Chang HM, Hsieh CH, Yeh CW, Shih CT, Wu JJ, Wang GT, Chen YC, Wu CC, Chen GY, Ching YT, Lee PC, Lin CY, Lin HH, Wu CC, Hsu HW, Huang YA, Chen JY, Chiang HJ, Lu CF, Ni RF, Yeh CY, Hwang JK. (2011) Three-dimensional reconstruction of brain-wide wiring networks in Drosophila at single-cell resolution. Current Biology. 21, 1-11