Deepthi Karkada
Intel
12 Papers
13 Citations
Deepthi Karkada is an academic researcher from Intel. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 2, co-authored 7 publications.
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Papers
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.
•Posted Content
Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model.
Aishwarya Bhandare,Vamsi Sripathi,Deepthi Karkada,Vivek Menon,Sun Choi,Kushal Datta,Vikram A. Saletore +6 more
TL;DR: This work quantizes a trained Transformer machine language translation model leveraging INT8/VNNI instructions in the latest Intel Cascade Lake processors to improve inference performance while maintaining less than 0.5% drop in accuracy.
123
Patent
Workload behavior modeling and prediction for data center adaptation
Ramesh Illikkal,Sajan Govindan,Deepthi Karkada,Sandeep Pal,Patrick Holmes +4 more
- 06 Mar 2017
TL;DR: In this paper, a data center is monitored to collect operating information and one or more models to represent behavior of the data center are built based on the collected operating information to facilitate resource allocation and scheduling for the workload supported by the data centre.
8
•Proceedings Article
RDG-Map: A Multimodal Corpus of Pedagogical Human-Agent Spoken Interactions.
Maike Paetzel,Deepthi Karkada,Ramesh R. Manuvinakurike +2 more
- 01 May 2020
TL;DR: This paper presents a multimodal corpus of 209 spoken game dialogues between a human and a remote-controlled artificial agent, and introduces the pedagogical reference resolution game (RDG-Map) and the characteristics of the corpus collected.
5
Nimg-25. optimization of artificial intelligence algorithms for low-resource/clinical environments: focus on clinically-relevant glioma region delineation
Bhakti Baheti,Siddhesh Thakur,Sarthak Pati,Deepthi Karkada,Ravi sankar panchumarthy,Junwen Wu,Suyash Mohan,MacLean Nasrallah,Prashant Shah,Spyridon Bakas +9 more
TL;DR: In this article , the authors focus on the use case of delineating clinically-relevant regions, namely the entire tumor burden (ETB) and tumor core (TC), and investigate the contributions of post-training mathematical optimizations.