Year |
Citation |
Score |
2016 |
Bae HI, Lee C, Jo YM, Kwon O, Yu W, Kim MS, Seo AN. Gastric Mixed Adenoneuroendocrine Carcinoma with Squamous Differentiation: A Case Report. Journal of Pathology and Translational Medicine. PMID 26755357 DOI: 10.4132/jptm.2015.10.17 |
0.335 |
|
2015 |
Kang BW, Seo AN, Yoon S, Bae HI, Jeon SW, Kwon OK, Chung HY, Yu W, Kim JG. Prognostic value of Tumor-infiltrating lymphocytes in Epstein-Barr virus-associated gastric cancer. Annals of Oncology : Official Journal of the European Society For Medical Oncology / Esmo. PMID 26673353 DOI: 10.1093/annonc/mdv610 |
0.355 |
|
2015 |
Hwang K, Hwang G, Kwon OK, Kim CH, Ban SP, Han MK, Bae HJ, Kim BJ, Bang JS, Oh CW, Lee B, Jeong EA. Endovascular Treatment for Acute Ischemic Stroke Patients over 80 Years of Age. Journal of Cerebrovascular and Endovascular Neurosurgery. 17: 173-9. PMID 26523252 DOI: 10.7461/jcen.2015.17.3.173 |
0.347 |
|
2013 |
Bae H, Mustafa D, Lee JW, Aurangzeb, Lin H, Dave C, Eigenmann R, Midkiff SP. The Cetus source-to-source compiler infrastructure: Overview and evaluation International Journal of Parallel Programming. 41: 753-767. DOI: 10.1007/S10766-012-0211-Z |
0.415 |
|
2009 |
Dave C, Bae H, Min SJ, Lee S, Eigenmann R, Midkiff S. Cetus: A source-to-source compiler infrastructure for multicores Computer. 42: 36-42. DOI: 10.1109/Mc.2009.385 |
0.704 |
|
2006 |
Bae H, Eigenmann R. Interprocedural symbolic range propagation for optimizing compilers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4339: 413-424. DOI: 10.1007/978-3-540-69330-7_28 |
0.55 |
|
2005 |
Bae H, Eigenmann R. Performance analysis of symbolic analysis techniques for parallelizing compilers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2481: 280-294. DOI: 10.1007/11596110_19 |
0.667 |
|
1999 |
Bae HS. Product differentiation in cable programming: The case in the cable national all-news networks Journal of Media Economics. 12: 265-277. |
0.318 |
|
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