Sohn, Hyon-Mok
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5

Evaluation of state-of-the-art segmentation algorithms for ..:

Karim, Rashed ; Bhagirath, Pranav ; Claus, Piet...
Karim , R , Bhagirath , P , Claus , P , James Housden , R , Chen , Z , Karimaghaloo , Z , Sohn , H-M , Lara Rodríguez , L , Vera , S , Albà , X , Hennemuth , A , Peitgen , H-O , Arbel , T , Gonzàlez Ballester , M A , Frangi , A F , Götte , M , Razavi , R , Schaeffter , T & Rhode , K 2016 , ' Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images ' , Medical Image Analysis , vol. 30 , pp. 95-107 . https://doi.org/10.1016/j.media.2016.01.004.  , 2016
 
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6

Evaluation of state-of-the-art segmentation algorithms for ..:

Karim, Rashed ; Bhagirath, Pranav ; Claus, Piet...
Karim , R , Bhagirath , P , Claus , P , James Housden , R , Chen , Z , Karimaghaloo , Z , Sohn , H-M , Lara Rodríguez , L , Vera , S , Albà , X , Hennemuth , A , Peitgen , H-O , Arbel , T , Gonzàlez Ballester , M A , Frangi , A F , Götte , M , Razavi , R , Schaeffter , T & Rhode , K 2016 , ' Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images ' , Medical Image Analysis , vol. 30 , pp. 95-107 . https://doi.org/10.1016/j.media.2016.01.004.  , 2016
 
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7

Evaluation of state-of-the-art segmentation algorithms for ..:

Karim, Rashed ; Bhagirath, Pranav ; Claus, Piet...
Karim , R , Bhagirath , P , Claus , P , James Housden , R , Chen , Z , Karimaghaloo , Z , Sohn , H-M , Lara Rodríguez , L , Vera , S , Albà , X , Hennemuth , A , Peitgen , H O , Arbel , T , González Ballester , M A , Frangi , A F , Götte , M , Razavi , R , Schaeffter , T & Rhode , K 2016 , ' Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images ' , Medical Image Analysis , vol. 30 , pp. 95-107 . https://doi.org/10.1016/j.media.2016.01.004.  , 2016
 
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8

Predicting response to neoadjuvant chemotherapy with PET im..:

Ypsilantis, Petros Pavlos ; Siddique, Musib ; Sohn, Hyon Mok...
Ypsilantis , P P , Siddique , M , Sohn , H M , Davies , A , Cook , G , Goh , V & Montana , G 2015 , ' Predicting response to neoadjuvant chemotherapy with PET imaging using convolutional neural networks ' , PL o S One , vol. 10 , no. 9 , e0137036 . https://doi.org/10.1371/journal.pone.0137036.  , 2015
 
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9

Predicting response to neoadjuvant chemotherapy with PET im..:

Ypsilantis, Petros Pavlos ; Siddique, Musib ; Sohn, Hyon Mok...
Ypsilantis , P P , Siddique , M , Sohn , H M , Davies , A , Cook , G , Goh , V & Montana , G 2015 , ' Predicting response to neoadjuvant chemotherapy with PET imaging using convolutional neural networks ' , PL o S One , vol. 10 , no. 9 , e0137036 . https://doi.org/10.1371/journal.pone.0137036.  , 2015
 
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11

Four-beam Interference Optical System for Laser Micro- stru..:

Noh, Ji-Whan ; Lee, Jae-Hoon ; Shin, Dong-Sig...
Journal of the Optical Society of Korea.  13 (2009)  1 - p. 75-79 , 2009
 
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14

Factors affecting KRAS mutation detection in colorectal can..:

Yun, Hyon-goo ; Lee, Hyun Joo ; Kim, Bo-ra...
Pathology - Research and Practice.  215 (2019)  5 - p. 1071-1075 , 2019
 
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