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Showing items 1-10 of 108 (11 Page(s) Totally) 1 2 3 4 5 6 7 8 9 10 > >> View [10|25|50] records per page
| 國立成功大學 |
2023 |
Osimertinib + Savolitinib to Overcome Acquired MET-Mediated Resistance in Epidermal Growth Factor Receptor–Mutated, MET-Amplified Non–Small Cell Lung Cancer: TATTON
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Hartmaier, R.J.;Markovets, A.A.;Ahn, M.J.;Sequist, L.V.;Han, J.-Y.;Cho, B.C.;Yu, H.A.;Kim, S.-W.;Yang, J.C.-H.;Lee, J.-S.;Su, W.-C.;Kowalski, D.M.;Orlov, S.;Ren, S.;Frewer, P.;Ou, X.;Cross, D.A.E.;Kurian, N.;Cantarini, M.;J�nne, P.A. |
| 國立成功大學 |
2023 |
A phase II open-label trial of avelumab plus axitinib in previously treated non-small-cell lung cancer or treatment-na�ve, cisplatin-ineligible urothelial cancer
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Galffy, Galffy G.;Lugowska, I.;Poddubskaya, E.V.;Cho, B.C.;Ahn, M.-J.;Han, J.-Y.;Su, W.-C.;Hauke, R.J.;Dyar, S.H.;Lee, D.H.;Serwatowski, P.;Estelles, D.L.;Holden, V.R.;Kim, Y.J.;Vladimirov, Vladimirov V.;Horvath, Z.;Ghose, A.;Goldman, A.;di, Pietro A.;Wang, J.;Murphy, D.A.;Alhadab, Alhadab A.;Laskov, M. |
| 臺大學術典藏 |
2022-09-21T23:30:02Z |
INTEGRATING INSAR INFORMATION AND SPATIAL-TEMPORAL FACTORS IN MACHINE LEARNING ANALYSIS FOR LANDSLIDE PREDICTION - A CASE STUDY FOR PROVINCIAL HIGHWAY 18 AREA IN TAIWAN
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YIN-KAI CHEN; Lin, Y. T.; Yen, H. Y.; Chang, N. H.; Lin, H. M.; Yang, K. H.; Chen, C. S.; Wang, L. P.; Cheng, H. K.; Wu, H. H.; Han, J. Y. |
| 臺大學術典藏 |
2022-08-10T02:37:39Z |
Amivantamab in egfr exon 20 insertion- mutated non-small-cell lung cancer progressing on platinum chemotherapy: Initial results from the chrysalis phase i study
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Park K.; Haura E.B.; Leighl N.B.; Mitchell P.; Shu C.A.; Girard N.; Viteri S.; Han J.-Y.; Kim S.-W.; Lee C.K.; Sabari J.K.; Spira A.I.; Yang T.-Y.; Kim D.-W.; Lee K.H.; Sanborn R.E.; Trigo J.; Goto K.; Lee J.-S.; CHIH-HSIN YANG; Govindan R.; Bauml J.M.; Garrido P.; Krebs M.G.; Reckamp K.L.; Xie J.; Curtin J.C.; Haddish-Berhane N.; Roshak A.; Millington D.; Lorenzini P.; Thayu M.; Knoblauch R.E.; Cho B.C. |
| 臺大學術典藏 |
2022-08-10T02:37:38Z |
Brigatinib Versus Crizotinib in ALK Inhibitor�VNaive Advanced ALK-Positive NSCLC: Final Results of Phase 3 ALTA-1L Trial
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Camidge D.R.; Kim H.R.; Ahn M.-J.; CHIH-HSIN YANG; Han J.-Y.; Hochmair M.J.; Lee K.H.; Delmonte A.; Garcia Campelo M.R.; Kim D.-W.; Griesinger F.; Felip E.; Califano R.; Spira A.I.; Gettinger S.N.; Tiseo M.; Lin H.M.; Liu Y.; Vranceanu F.; Niu H.; Zhang P.; Popat S. |
| 臺大學術典藏 |
2022-06-27T06:59:36Z |
Olmutinib in T790M-positive non–small cell lung cancer after failure of first-line epidermal growth factor receptor-tyrosine kinase inhibitor therapy: A global, phase 2 study
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Park K.; J?nne P.A.; Kim D.-W.; Han J.-Y.; Wu M.-F.; Lee J.-S.; Kang J.-H.; Lee D.H.; Cho B.C.; CHONG-JEN YU; Pang Y.K.; Felip E.; Kim H.; Baek E.; Noh Y.S. |
| 臺大學術典藏 |
2022-03-22T08:28:01Z |
Integrating InSAR observables and multiple geological factors for landslide susceptibility assessment
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Lin Y.-T;Chen Y.-K;Yang K.-H;Chen C.-S;Han J.-Y.; Lin Y.-T; Chen Y.-K; Yang K.-H; Chen C.-S; Han J.-Y.; KUO-HSIN YANG |
| 臺大學術典藏 |
2022-03-22T08:28:01Z |
Integrating InSAR observables and multiple geological factors for landslide susceptibility assessment
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Lin Y.-T;Chen Y.-K;Yang K.-H;Chen C.-S;Han J.-Y.; Lin Y.-T; Chen Y.-K; Yang K.-H; Chen C.-S; Han J.-Y.; KUO-HSIN YANG |
| 臺大學術典藏 |
2022-03-22T08:28:00Z |
Prediction of Landslides Using Machine Learning Techniques Based on Spatio-Temporal Factors and InSAR Data [結合時空因子與InSAR觀測資料之地表崩塌變位預測分析]
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Lin Y.-T;Yen H.-Y;Chang N.-H;Lin H.-M;Han J.-Y;Yang K.-H;Chen C.-S;Zheng H.-K;Hsu J.-Y.; Lin Y.-T; Yen H.-Y; Chang N.-H; Lin H.-M; Han J.-Y; Yang K.-H; Chen C.-S; Zheng H.-K; Hsu J.-Y.; KUO-HSIN YANG |
| 臺大學術典藏 |
2022-03-22T08:28:00Z |
Prediction of Landslides Using Machine Learning Techniques Based on Spatio-Temporal Factors and InSAR Data [結合時空因子與InSAR觀測資料之地表崩塌變位預測分析]
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Lin Y.-T;Yen H.-Y;Chang N.-H;Lin H.-M;Han J.-Y;Yang K.-H;Chen C.-S;Zheng H.-K;Hsu J.-Y.; Lin Y.-T; Yen H.-Y; Chang N.-H; Lin H.-M; Han J.-Y; Yang K.-H; Chen C.-S; Zheng H.-K; Hsu J.-Y.; KUO-HSIN YANG |
Showing items 1-10 of 108 (11 Page(s) Totally) 1 2 3 4 5 6 7 8 9 10 > >> View [10|25|50] records per page
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