Andrew H. Beck
Ottawa Hospital Research Institute
223 Papers
1K Citations
Andrew H. Beck is an academic researcher from Ottawa Hospital Research Institute. The author has contributed to research in topics: Breast cancer & Medicine. The author has an hindex of 57, co-authored 197 publications. Previous affiliations of Andrew H. Beck include University of Michigan & Beth Israel Deaconess Medical Center.
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Papers
Comprehensive molecular portraits of human breast tumours
Daniel C. Koboldt,Robert S. Fulton,Michael D. McLellan,Heather Schmidt,Joelle Kalicki-Veizer,Joshua F. McMichael,Lucinda Fulton,David J. Dooling,Li Ding,Elaine R. Mardis,Richard K. Wilson,Adrian Ally,Miruna Balasundaram,Yaron S.N. Butterfield,Rebecca Carlsen,Candace Carter,Andy Chu,Eric Chuah,Hye Jung E. Chun,Robin J.N. Coope,Noreen Dhalla,Ranabir Guin,Carrie Hirst,Martin Hirst,Robert A. Holt,Darlene Lee,Haiyan I. Li,Michael Mayo,Richard A. Moore,Andrew J. Mungall,Erin Pleasance,A. Gordon Robertson,Jacqueline E. Schein,Arash Shafiei,Payal Sipahimalani,Jared R. Slobodan,Dominik Stoll,Angela Tam,Nina Thiessen,Richard Varhol,Natasja Wye,Thomas Zeng,Yongjun Zhao,Inanc Birol,Steven J.M. Jones,Marco A. Marra,Andrew D. Cherniack,Gordon Saksena,Gordon Saksena,Robert C. Onofrio,Nam H. Pho,Scott L. Carter,Steven E. Schumacher,Steven E. Schumacher,Barbara Tabak,Barbara Tabak,Bryan Hernandez,Jeff Gentry,Huy Nguyen,Andrew Crenshaw,Kristin G. Ardlie,Rameen Beroukhim,Rameen Beroukhim,Wendy Winckler,Gad Getz,Gad Getz,Stacey Gabriel,Matthew Meyerson,Matthew Meyerson,Lynda Chin,Lynda Chin,Raju Kucherlapati,Katherine A. Hoadley,J. Todd Auman,Cheng Fan,Yidi J. Turman,Yan Shi,Ling Li,Michael D. Topal,Xiaping He,Hann Hsiang Chao,Aleix Prat,Grace O. Silva,Michael D. Iglesia,Wei Zhao,Jerry Usary,Jonathan S. Berg,Michael C. Adams,Jessica K. Booker,Junyuan Wu,Anisha Gulabani,Tom Bodenheimer,Alan P. Hoyle,Janae V. Simons,Matthew G. Soloway,Lisle E. Mose,Stuart R. Jefferys,Saianand Balu,Joel S. Parker,D. Neil Hayes,Charles M. Perou,Simeen Malik,Swapna Mahurkar,Hui Shen,Daniel J. Weisenberger,Timothy J. Triche,Phillip H. Lai,Moiz S. Bootwalla,Dennis T. Maglinte,Benjamin P. Berman,David Van Den Berg,Stephen B. Baylin,Peter W. Laird,Chad J. Creighton,Lawrence A. Donehower,Michael S. Noble,Doug Voet,Nils Gehlenborg,Daniel Di Cara,Juinhua Zhang,Hailei Zhang,Chang-Jiun Wu,Spring Yingchun Liu,Michael S. Lawrence,Lihua Zou,Andrey Sivachenko,Pei Lin,Petar Stojanov,Rui Jing,Juok Cho,Raktim Sinha,Richard W. Park,Marc Danie Nazaire,James A. Robinson,Helga Thorvaldsdottir,Jill P. Mesirov,Peter J. Park,Sheila Reynolds,Richard Kreisberg,Brady Bernard,Ryan Bressler,Timo Erkkilä,Jake Lin,Vesteinn Thorsson,Wei Zhang,Ilya Shmulevich,Giovanni Ciriello,Nils Weinhold,Nikolaus Schultz,Jianjiong Gao,Ethan Cerami,Benjamin Gross,Anders Jacobsen,Rileen Sinha,B. Arman Aksoy,Yevgeniy Antipin,Boris Reva,Ronglai Shen,Barry S. Taylor,Marc Ladanyi,Chris Sander,Pavana Anur,Paul T. Spellman,Yiling Lu,Wenbin Liu,Roel R.G. Verhaak,Gordon B. Mills,Gordon B. Mills,Rehan Akbani,Nianxiang Zhang,Bradley M. Broom,Tod D. Casasent,Chris Wakefield,Anna K. Unruh,Keith A. Baggerly,Kevin R. Coombes,John N. Weinstein,David Haussler,Christopher C. Benz,Joshua M. Stuart,Stephen C. Benz,Jingchun Zhu,Christopher Szeto,Gary K. Scott,Christina Yau,Evan O. Paull,Daniel E. Carlin,Christopher K. Wong,Artem Sokolov,Janita Thusberg,Sean D. Mooney,Sam Ng,Theodore C. Goldstein,Kyle Ellrott,Mia Grifford,Christopher Wilks,Singer Ma,Brian Craft,Chunhua Yan,Ying Hu,Daoud Meerzaman,Julie M. Gastier-Foster,Julie M. Gastier-Foster,Jay Bowen,Nilsa C. Ramirez,Nilsa C. Ramirez,Aaron D. Black,Robert E. Pyatt,Robert E. Pyatt,Peter White,Peter White,Erik Zmuda,Jessica Frick,Tara M. Lichtenberg,Robin Brookens,Myra M. George,Mark Gerken,Hollie A. Harper,Kristen M. Leraas,Lisa Wise,Teresa R. Tabler,Cynthia McAllister,Thomas Barr,Melissa Hart-Kothari,Katie Tarvin,Charles Saller,George E. Sandusky,Colleen Mitchell,Mary Iacocca,Jennifer Brown,Brenda Rabeno,Christine Czerwinski,Nicholas J. Petrelli,Oleg Dolzhansky,Mikhail Abramov,Olga Voronina,Olga Potapova,Jeffrey R. Marks,Wiktoria Maria Suchorska,Dawid Murawa,Witold Kycler,Matthew Ibbs,Konstanty Korski,Arkadiusz Spychała,Pawel Murawa,Jacek J. Brzeziński,Hanna Perz,Radoslaw Łaźniak,M. Teresiak,Honorata Tatka,Ewa Leporowska,Marta Bogusz-Czerniewicz,Julian Malicki,Andrzej Mackiewicz,Maciej Wiznerowicz,Xuan Van Le,Bernard Kohl,Nguyen Viet Tien,Richard Thorp,Nguyen Van Bang,Howard H. Sussman,Bui Duc Phu,Richard A. Hajek,Nguyen Phi Hung,Huynh Quyet Thang,Khurram Z. Khan,Robert Penny,David Mallery,Erin Curley,Candace Shelton,Peggy Yena,James N. Ingle,Fergus J. Couch,Wilma L. Lingle,Tari A. King,Ana M. Gonzalez-Angulo,Ana M. Gonzalez-Angulo,Mary D. Dyer,Shuying Liu,Xiaolong Meng,Modesto Patangan,Frederic Waldman,Frederic Waldman,Hubert Stoppler,W. Kimryn Rathmell,Leigh B. Thorne,Mei Huang,Lori Boice,Ashley Hill,Carl Morrison,Carmelo Gaudioso,Wiam Bshara,Kelly Daily,Sophie C. Egea,Mark D. Pegram,Carmen Gomez-Fernandez,Rajiv Dhir,Rohit Bhargava,Adam Brufsky,Craig D. Shriver,Jeffrey A. Hooke,Jamie Leigh Campbell,Richard J. Mural,Hai Hu,Stella Somiari,Caroline Larson,Brenda Deyarmin,Leonid Kvecher,Albert J. Kovatich,Matthew J. Ellis,Thomas Stricker,Kevin P. White,Olufunmilayo I. Olopade,Chunqing Luo,Yaqin Chen,Ron Bose,Li-Wei Chang,Andrew H. Beck,Todd Pihl,Mark A. Jensen,Robert Sfeir,Ari B. Kahn,Anna Chu,Prachi Kothiyal,Zhining Wang,Eric E. Snyder,Joan Pontius,Brenda Ayala,Mark Backus,Jessica Walton,Julien Baboud,Dominique L. Berton,Matthew C. Nicholls,Deepak Srinivasan,Rohini Raman,Stanley Girshik,Peter A. Kigonya,Shelley Alonso,Rashmi N. Sanbhadti,Sean P. Barletta,David Pot,Margi Sheth,John A. Demchok,Kenna R. Mills Shaw,Liming Yang,Greg Eley,Martin L. Ferguson,Roy Tarnuzzer,Jiashan Zhang,Laura A.L. Dillon,Kenneth H. Buetow,Peter Fielding,Bradley A. Ozenberger,Mark S. Guyer,Heidi J. Sofia,Jacqueline D. Palchik +355 more
TL;DR: The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
Babak Ehteshami Bejnordi,Mitko Veta,Paul J. van Diest,Bram van Ginneken,Nico Karssemeijer,Geert Litjens,Jeroen van der Laak,Meyke Hermsen,Quirine F. Manson,Maschenka Balkenhol,Oscar Geessink,N. Stathonikos,Marcory C. R. F. van Dijk,Peter Bult,Francisco Beca,Andrew H. Beck,Dayong Wang,Aditya Khosla,Rishab Gargeya,Humayun Irshad,Aoxiao Zhong,Qi Dou,Qi Dou,Quanzheng Li,Hao Chen,Huangjing Lin,Pheng-Ann Heng,Christian Haß,Elia Bruni,Quincy Wong,Ugur Halici,Mustafa Umit Oner,Rengul Cetin-Atalay,Matt Berseth,Vitali Khvatkov,Alexei Vylegzhanin,Oren Kraus,Muhammad Shaban,Nasir M. Rajpoot,Nasir M. Rajpoot,Ruqayya Awan,Korsuk Sirinukunwattana,Talha Qaiser,Yee-Wah Tsang,David Tellez,Jonas Annuscheit,Peter Hufnagl,Mira Valkonen,Kimmo Kartasalo,Kimmo Kartasalo,Leena Latonen,Pekka Ruusuvuori,Pekka Ruusuvuori,Kaisa Liimatainen,Shadi Albarqouni,Bharti Mungal,Ami George,Stefanie Demirci,Nassir Navab,Seiryo Watanabe,Shigeto Seno,Yoichi Takenaka,Hideo Matsuda,Hady Ahmady Phoulady,Vassili Kovalev,A. Kalinovsky,Vitali Liauchuk,Gloria Bueno,M. Milagro Fernández-Carrobles,Ismael Serrano,Oscar Deniz,Daniel Racoceanu,Daniel Racoceanu,Rui Venâncio +73 more
TL;DR: In the setting of a challenge competition, some deep learning algorithms achieved better diagnostic performance than a panel of 11 pathologists participating in a simulation exercise designed to mimic routine pathology workflow; algorithm performance was comparable with an expert pathologist interpreting whole-slide images without time constraints.
Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer.
Giovanni Ciriello,Giovanni Ciriello,Michael L. Gatza,Michael L. Gatza,Andrew H. Beck,Matthew D. Wilkerson,Suhn K. Rhie,Alessandro Pastore,Hailei Zhang,Michael D. McLellan,Christina Yau,Cyriac Kandoth,Reanne Bowlby,Hui Shen,Sikander Hayat,Robert J. Fieldhouse,Susan C. Lester,Gary M. Tse,Rachel E. Factor,Laura C. Collins,Kimberly H. Allison,Yunn Yi Chen,Kristin C. Jensen,Kristin C. Jensen,Nicole B. Johnson,Steffi Oesterreich,Gordon B. Mills,Andrew D. Cherniack,Gordon Robertson,Christopher C. Benz,Chris Sander,Peter W. Laird,Katherine A. Hoadley,Tari A. King,Rehan Akbani,J. Todd Auman,Miruna Balasundaram,Saianand Balu,Thomas Barr,Stephen C. Benz,Mario Berrios,Rameen Beroukhim,Tom Bodenheimer,Lori Boice,Moiz S. Bootwalla,Jay Bowen,Denise Brooks,Lynda Chin,Juok Cho,Sudha Chudamani,Tanja M. Davidsen,John A. Demchok,Jennifer B. Dennison,Li Ding,Ina Felau,Martin L. Ferguson,Scott Frazer,Stacey Gabriel,Jianjiong Gao,Julie M. Gastier-Foster,Nils Gehlenborg,Mark Gerken,Gad Getz,William J. Gibson,D. Neil Hayes,David I. Heiman,Andrea Holbrook,Robert A. Holt,Alan P. Hoyle,Hai Hu,Mei Huang,Carolyn M. Hutter,E. Shelley Hwang,Stuart R. Jefferys,Steven J.M. Jones,Zhenlin Ju,Jaegil Kim,Phillip H. Lai,Michael S. Lawrence,Kristen M. Leraas,Tara M. Lichtenberg,Pei Lin,Shiyun Ling,Jia Liu,Wen-Bin Liu,Laxmi Lolla,Yiling Lu,Yussanne Ma,Dennis T. Maglinte,Elaine R. Mardis,Jeffrey R. Marks,Marco A. Marra,Cynthia McAllister,Shaowu Meng,Matthew Meyerson,Richard A. Moore,Lisle E. Mose,Andrew J. Mungall,Bradley A. Murray,Rashi Naresh,Michael S. Noble,Olufunmilayo I. Olopade,Joel S. Parker,Todd Pihl,Gordon Saksena,Steven E. Schumacher,Kenna R. Mills Shaw,Nilsa C. Ramirez,W. Kimryn Rathmell,Jeffrey Roach,A. Gordon Robertson,Jacqueline E. Schein,Nikolaus Schultz,Margi Sheth,Yan Shi,Juliann Shih,Carl Simon Shelley,Craig D. Shriver,Janae V. Simons,Heidi J. Sofia,Matthew G. Soloway,Carrie Sougnez,Charlie Sun,Roy Tarnuzzer,Daniel Guimarães Tiezzi,David Van Den Berg,Doug Voet,Yunhu Wan,Zhining Wang,John N. Weinstein,Daniel J. Weisenberger,Rick K. Wilson,Lisa Wise,Maciej Wiznerowicz,Junyuan Wu,Ye Wu,Liming Yang,Travis I. Zack,Jean C. Zenklusen,Jiashan Zhang,Erik Zmuda,Charles M. Perou +141 more
TL;DR: This multidimensional molecular atlas sheds new light on the genetic bases of ILC and provides potential clinical options, suggesting differential modulation of ER activity in I LC and IDC.
1.7K
•Posted Content
Deep Learning for Identifying Metastatic Breast Cancer
TL;DR: The power of using deep learning to produce significant improvements in the accuracy of pathological diagnoses is demonstrated, by combining the deep learning system's predictions with the human pathologist's diagnoses.
1K
Systematic analysis of breast cancer morphology uncovers stromal features associated with survival.
Andrew H. Beck,Ankur R. Sangoi,Ankur R. Sangoi,Samuel Leung,Robert J. Marinelli,Torsten O. Nielsen,Marc J. van de Vijver,Robert B. West,Matt van de Rijn,Daphne Koller +9 more
TL;DR: An automated pathologist is created by replacing the human brain with sophisticated image processing software and instructing it to find quantitative aspects of breast cancer tissue that predict prognosis, which was strongly associated with overall survival in both the NKI and the VGH cohorts.
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