32 Papers
48 Citations
Anh Tran is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Steam reforming & Model predictive control. The author has an hindex of 15, co-authored 29 publications. Previous affiliations of Anh Tran include University of California & National University of Singapore.
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Papers
Evidence for sequenced molecular evolution of IDH1 mutant glioblastoma from a distinct cell of origin.
Albert Lai,Samir Kharbanda,Whitney B. Pope,Anh Tran,Orestes E. Solis,Franklin Peale,William F. Forrest,Kanan Pujara,Jose Carrillo,Ajay Pandita,Benjamin M. Ellingson,Chauncey W. Bowers,Robert Soriano,Nils Ole Schmidt,Sankar Mohan,William H. Yong,Somasekar Seshagiri,Zora Modrusan,Zhaoshi Jiang,Kenneth Aldape,Paul S. Mischel,Linda M. Liau,Cameron Escovedo,Weidong Chen,Phioanh L. Nghiemphu,C. David James,Michael D. Prados,Manfred Westphal,Katrin Lamszus,Timothy F. Cloughesy,Heidi S. Phillips,Heidi S. Phillips +31 more
TL;DR: Although histologically similar, GBMs arising with and without IDH1(R132MUT) appear to represent distinct disease entities that arise from separate cell types of origin as the result of largely nonoverlapping sets of molecular events.
Machine learning-based predictive control of nonlinear processes. Part I: Theory
TL;DR: Machine learning ensemble regression modeling tools are employed in the formulation of LMPC to improve prediction accuracy of RNN models and overall closed-loop performance while parallel computing is utilized to reduce computation time.
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Federated learning enables big data for rare cancer boundary detection
Sarthak Pati,Ujjwal Baid,Brandon Edwards,Micah J. Sheller,Shih-han Wang,G. Anthony Reina,Patrick Foley,Alexey Gruzdev,Deepthi Karkada,Christos Davatzikos,Chiharu Sako,Satyam Ghodasara,Michel Bilello,Suyash Mohan,Philipp Vollmuth,Gianluca Brugnara,Chandrakanth Jayachandran Preetha,Felix Sahm,Klaus H. Maier-Hein,Maximilian Zenk,Martin Bendszus,Wolfgang Wick,R. Calabrese,Jeffrey D. Rudie,Javier Villanueva-Meyer,So Yeon Cha,Madhura Ingalhalikar,Manali Jadhav,Umang Pandey,Jitender Saini,John Garrett,Matthew H. Larson,Robert Jeraj,Stuart Currie,R. Frood,Kavi Fatania,Raymond Y. Huang,Ken Chang,Carmen Balaña Quintero,Jaume Capellades,Josep Puig,Johannes Trenkler,Josef Pichler,Georg Necker,Andreas Haunschmidt,Stephan Meckel,Gaurav Shukla,Spencer Liem,Gregory S. Alexander,Joseph Lombardo,Joshua D. Palmer,Adam E. Flanders,Adam P. Dicker,Haris I. Sair,Craig K. Jones,Archana Venkataraman,Meirui Jiang,Tiffany Y. So,Cheng Chen,Pheng-Ann Heng,Qi Dou,Michal Kozubek,Filip Lux,Jan Mich'alek,Petr Matula,Milovs Kevrkovsk'y,Tereza Kopvrivov'a,Marek Dost'al,V'aclav Vyb'ihal,Michael A. Vogelbaum,James R. Mitchell,Joaquim M. Farinhas,Joseph A. Maldjian,Chandan Ganesh Bangalore Yogananda,Marco Da Cunha Pinho,Divya madhuri Reddy,James M. Holcomb,Benjamin C. Wagner,Benjamin M. Ellingson,Timothy F. Cloughesy,Catalina Raymond,Talia Oughourlian,Akifumi Hagiwara,Chencai Wang,Minh-Son To,Sargam Bhardwaj,Chee Chong,Marc Agzarian,Alexandre X. Falcão,Samuel Botter Martins,Bernardo Teixeira,Flávia Sprenger,David Menotti,Diego R. Lucio,Pamela LaMontagne,Daniel S. Marcus,Benedikt Wiestler,Florian Kofler,Ivan Ezhov,Marie-Christin Metz,Rajan B. Jain,Matthew C. H. Lee,Yvonne W. Lui,Richard McKinley,Johannes Slotboom,Piotr Radojewski,Raphael Meier,Roland Wiest,Derrick Murcia,Eric Fu,Rourke Haas,Johnna Kellie Fox Thompson,D. Ryan Ormond,Chaitra Badve,Andrew E. Sloan,Vachan Vadmal,Kristin Waite,Rivka R. Colen,Linmin Pei,Murat Ak,Ashok Srinivasan,J. Rajiv Bapuraj,Arvind Rao,Nicholas C. Wang,Ota Yoshiaki,Toshio Moritani,Sevcan Turk,Joonsang Lee,Snehal Prabhudesai,Fanny Mor'on,Jacob Mandel,Konstantinos Kamnitsas,Ben Glocker,Luke Dixon,Matthew Ian Williams,Peter Zampakis,V. Panagiotopoulos,Panagiotis Tsiganos,Sotiris Alexiou,Ilias Haliassos,Evangelia I. Zacharaki,Konstantinos Moustakas,Christina Kalogeropoulou,Dimitrios Kardamakis,Yoon Seong Choi,Seung Koo Lee,Jong Hee Chang,Sung Soo Ahn,Bing Luo,Laila M. Poisson,Ning Wen,Pallavi Tiwari,Ruchika Verma,Rohan Bareja,Ipsa Yadav,Jonathan Chen,Neeraj Kumar,Marion Smits,Sebastian R. van der Voort,Ahmed Alafandi,Fatih Incekara,Maarten M. J. Wijnenga,Georgios Kapas,Renske Gahrmann,Joost Schouten,Hendrikus J. Dubbink,Arnaud J P E Vincent,Martin J. van den Bent,Pim J. French,Stefan Halle Klein,Yading Yuan,Sonam Sharma,Tzu Chi Tseng,Saba Adabi,Simone P. Niclou,Olivier Keunen,Annika Hau,Martin Vallières,David Fortin,Martin Lepage,Bennett A. Landman,Karthik Ramadass,Kaiwen Xu,Silky Chotai,Lola B. Chambless,Akshitkumar M. Mistry,Reid C. Thompson,Yuriy Gusev,Krithika Bhuvaneshwar,Anousheh Sayah,Camelia Bencheqroun,Anas Belouali,Subhashree Madhavan,Thomas C. Booth,Alysha Chelliah,Marc Modat,H. Shuaib,Carmen Dragos,Aly Abayazeed,Kenneth E. Kolodziej,Michael Hill,A. Abbassy,Shady Mohamed Tarek Gamal,Mahmoud Mekhaimar,Mohamed Qayati,Mauricio Reyes,Ji Eun Park,Jihye Yun,Ho Sung Kim,Abhishek Mahajan,Mark Muzi,Sean Benson,Regina G. H. Beets-Tan,Jonas Teuwen,A. Herrera-Trujillo,Maria Trujillo,W. Escobar,Ana Lorena Abello,Jose Bernal,Jhonny C. G'omez,Joseph Choi,Stephen Baek,Yusung Kim,H. Ismael,Bryan G. Allen,John M. Buatti,Aikaterini Kotrotsou,Hongwei Li,Tobias Weiss,Michael Weller,Andrea Bink,B. Pouymayou,Hassan Fathallah Shaykh,Joel H. Saltz,Prateek Prasanna,Sampurna Shrestha,K.M. Mani,David Payne,T. Kurca,Enrique Pelaez,Heydy Franco-Maldonado,Francis R. Loayza,Sebastian Quevedo,Pamela Guevara,Esteban Torche,Cristóbal Mendoza,Franco Vera,Elvis R'ios,E. L'opez,Sergio A. Velastin,Godwin Ogbole,Dotun Oyekunle,O.O Odafe-Oyibotha,Babatunde Ebenezer Osobu,Mustapha Shu’aibu,Adeleye Dorcas,Mayowa Abimbola Soneye,Farouk Dako,Amber L. Simpson,Mohammad Hamghalam,Jacob J. Peoples,Ricky Hu,Anh Tran,D A Cutler,Fabio Y. Moraes,Michael A. Boss,James F. Gimpel,Deepak Kattil Veettil,Kendall Schmidt,Brian Bialecki,S. Marella,Cynthia O. Price,Lisa Cimino,Charles Apgar,Prashant Shah,Bjoern H. Menze,Jill S. Barnholtz-Sloan,Jason Martin,Spyridon Bakas +278 more
TL;DR: This paper presented the largest FL study to date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature.
Apparent Diffusion Coefficient Histogram Analysis Stratifies Progression-Free Survival in Newly Diagnosed Bevacizumab-Treated Glioblastoma
Whitney B. Pope,Albert Lai,Rupal I. Mehta,Hyun J. Kim,Joe X Qiao,Jonathan R. Young,X. Xue,Jonathan G. Goldin,Matthew S. Brown,Phioanh L. Nghiemphu,Anh Tran,Timothy F. Cloughesy +11 more
TL;DR: In this article, an up-front bevacizumab-treated and control patients (n = 59 and 62, respectively) with newly diagnosed GBM were analyzed by using an ADC histogram approach based on enhancing tumor.
184
Machine-learning-based predictive control of nonlinear processes. Part II: Computational implementation
TL;DR: Computational implementation issues of this new model predictive control method ranging from training of the RNN models, ensemble regression of the RNN models, and parallel computation for accelerating the real-time model calculations are addressed.
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