Deepthi Karkada

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All published works

Action	Title	Year	Authors
+ PDF Chat	GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows	2023	Sarthak Pati Siddhesh Thakur İbrahim Ethem Hamamcı Ujjwal Baid Bhakti Baheti Megh Bhalerao Orhun Güley Sofia Mouchtaris David Lang Spyridon Thermos
+ PDF Chat	Federated learning enables big data for rare cancer boundary detection	2022	Sarthak Pati Ujjwal Baid Brandon Edwards Micah Sheller Shih‐Han Wang G. Anthony Reina Patrick Foley А. Д. Груздев Deepthi Karkada Christos Davatzikos
+	Federated Learning Enables Big Data for Rare Cancer Boundary Detection	2022	Sarthak Pati Ujjwal Baid Brandon L. Edwards Micah Sheller Shih‐Han Wang G. Anthony Reina Patrick Foley А. Д. Груздев Deepthi Karkada Christos Davatzikos
+	Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model.	2019	Aishwarya Bhandare Vamsi Sripathi Deepthi Karkada Vivek Menon Sun Choi Kushal Datta Vikram A. Saletore
+	Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model	2019	Aishwarya Bhandare Vamsi Sripathi Deepthi Karkada Vivek Menon Sun Mi Choi Kushal Datta Vikram A. Saletore
+	Towards Understanding End-of-trip Instructions in a Taxi Ride Scenario	2018	Deepthi Karkada Ramesh Manuvinakurike Kallirroi Georgila
+	Towards Understanding End-of-trip Instructions in a Taxi Ride Scenario	2018	Deepthi Karkada Ramesh Manuvinakurike Kallirroi Georgila

Common Coauthors

Coauthor	Papers Together
Sarthak Pati	3
Ujjwal Baid	3
Christos Davatzikos	3
Bjoern Menze	3
Tahsin Kurç	3
Micah Sheller	3
Joel Saltz	3
Spyridon Bakas	3
S. Benson	2
Craig Jones	2
Martin Bendszus	2
Ipsa Yadav	2
Thomas C. Booth	2
Esteban Torche	2
Mohammad Hamghalam	2
Gianluca Brugnara	2
Hendrikus J. Dubbink	2
Fábio Ynoe de Moraes	2
Michael Weller	2
Vachan Vadmal	2
Yoon Seong Choi	2
Rajan Jain	2
Petr Matula	2
Bernardo Corrêa de Almeida Teixeira	2
Ben Glocker	2
А. Д. Груздев	2
Jong Hee Chang	2
Elvis Ríos	2
D. Ryan Ormond	2
Lisa Cimino	2
Amber L. Simpson	2
Michal Kozubek	2
Vikram A. Saletore	2
Carmen Dragos	2
Bertrand Pouymayou	2
Martin J. van den Bent	2
Arnaud J.P.E. Vincent	2
Joseph S. Lombardo	2
Joost W. Schouten	2
F Sprenger	2
Sergio A. Velastín	2
Michel Bilello	2
Karthik Ramadass	2
Rourke Haas	2
Nicholas Wang	2
Akifumi Hagiwara	2
Marek Dostál	2
Alexandre X. Falcão	2
Ann‐Christin Hau	2
Andreas Haunschmidt	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	2
+ PDF Chat	Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation	2019	Micah Sheller G. Anthony Reina Brandon Edwards Jason Martin Spyridon Bakas	2
+ PDF Chat	Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations	2017	Carole H. Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso	2
+ PDF Chat	Evaluating the impact of intensity normalization on MR image synthesis	2019	Jacob C. Reinhold Blake E. Dewey Aaron Carass Jerry L. Prince	2
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	2
+	Generating Natural Questions About an Image	2016	Nasrin Mostafazadeh Ishan Misra Jacob Devlin Margaret Mitchell Xiaodong He Lucy Vanderwende	2
+	TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning	2021	Fernando Pérez‐García Rachel Sparks Sébastien Ourselin	2
+ PDF Chat	OpenFL: the open federated learning library	2022	Patrick Foley Micah Sheller Brandon Edwards Sarthak Pati Walter Riviera Mansi Sharma Prakash Narayana Moorthy Shih-han Wang Jason Martin Parsa Mirhaji	2
+ PDF Chat	GuessWhat?! Visual Object Discovery through Multi-modal Dialogue	2017	Harm de Vries Florian Strub Sarath Chandar Olivier Pietquin Hugo Larochelle Aaron Courville	2
+	Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features	2018	Matteo Pagliardini Prakhar Gupta Martin Jaggi	2
+ PDF Chat	The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study	2020	Gustav Mårtensson Daniel Ferreira Tobias Granberg Lena Cavallin Ketil Oppedal Alessandro Padovani Irena Rektorová Laura Bonanni Matteo Pardini Milica G. Kramberger	2
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+ PDF Chat	The Importance of Skip Connections in Biomedical Image Segmentation	2016	Michal Drozdzal Eugene Vorontsov Gabriel Chartrand Samuel Kadoury Chris Pal	1
+	Ternary Neural Networks with Fine-Grained Quantization	2017	Naveen Mellempudi Abhisek Kundu Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey	1
+	Mnemonic Reader for Machine Comprehension.	2017	Minghao Hu Yuxing Peng Xipeng Qiu	1
+	NiftyNet: a deep-learning platform for medical imaging	2018	Eli Gibson Wenqi Li Carole H. Sudre Lucas Fidon Dzhoshkun I. Shakir Guotai Wang Zach Eaton-Rosen Robert Gray Tom Doel Yipeng Hu	1
+	Generating Sentences by Editing Prototypes	2017	Kelvin Guu Tatsunori Hashimoto Yonatan Oren Percy Liang	1
+ PDF Chat	Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning	2018	Ronald Kemker Carl Salvaggio Christopher Kanan	1
+	Mixed Precision Training	2017	Paulius Micikevicius Sharan Narang Jonah Alben Gregory Diamos Erich Elsen David García Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh	1
+ PDF Chat	Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks	2018	Aditya Chattopadhay Anirban Sarkar Prantik Howlader Vineeth N Balasubramanian	1
+ PDF Chat	A systematic study of the class imbalance problem in convolutional neural networks	2018	Mateusz Buda Atsuto Maki Maciej A. Mazurowski	1
+	DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images	2017	Nick Pawlowski Sofia Ira Ktena Matthew C. H. Lee Bernhard Kainz Daniel Rueckert Ben Glocker Martin Rajchl	1
+	Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach	2018	Xu Han Roland Kwitt Stephen Aylward Spyridon Bakas Bjoern Menze Alexander Asturias Paul M. Vespa John Van Horn Marc Niethammer	1
+	State-of-the-art Speech Recognition With Sequence-to-Sequence Models	2017	Chung‐Cheng Chiu Tara N. Sainath Yonghui Wu Rohit Prabhavalkar Patrick Nguyen Zhifeng Chen Anjuli Kannan Ron J. Weiss Kanishka Rao Ekaterina Gonina	1
+	The Effectiveness of Data Augmentation in Image Classification using Deep Learning	2017	Luis Perez Jason Wang	1
+	Effective Quantization Approaches for Recurrent Neural Networks	2018	Md Zahangir Alom Adam Moody Naoya Maruyama Brian C. Van Essen Tarek M. Taha	1
+ PDF Chat	Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations	2018	Reuben R. Shamir Yuval Duchin Jinyoung Kim Guillermo Sapiro Noam Harel	1
+ PDF Chat	Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study	2018	John R. Zech Marcus A. Badgeley Manway Liu Anthony Costa J. Titano Eric K. Oermann	1
+	Neural Architecture Search: A Survey	2018	Thomas Elsken Jan Hendrik Metzen Frank Hutter	1
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	1
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jay B. Dean	1
+	VQA: Visual Question Answering	2015	Aishwarya Agrawal Jiasen Lu Stanislaw Antol Margaret Mitchell C. Lawrence Zitnick Dhruv Batra Devi Parikh	1
+	Language Models for Image Captioning: The Quirks and What Works	2015	Jacob Devlin Hao Cheng Hao Fang Saurabh Gupta Li Deng Xiaodong He Geoffrey Zweig Margaret Mitchell	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+	Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types	2019	Shahira Abousamra Le Hou Rajarsi Gupta Chao Chen Dimitris Samaras Tahsin Kurç Rebecca Batiste Tianhao Zhao Shroyer Kenneth Joel Saltz	1
+ PDF Chat	Value-Aware Quantization for Training and Inference of Neural Networks	2018	Eunhyeok Park Sungjoo Yoo Péter Vajda	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	1
+	Key-Value Retrieval Networks for Task-Oriented Dialogue	2017	Mihail Eric Lakshmi Krishnan François Charette Christopher D. Manning	1
+ PDF Chat	Non-rigid image registration using self-supervised fully convolutional networks without training data	2018	Hongming Li Yong Fan	1
+ PDF Chat	Signet Ring Cell Detection with a Semi-supervised Learning Framework	2019	Jiahui Li Shuang Yang Xiaodi Huang Qian Da Xiaoqun Yang Zhiqiang Hu Qi Duan Chaofu Wang Hongsheng Li	1
+ PDF Chat	Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks	2017	Seyed Sadegh Mohseni Salehi Deniz Erdoğmuş Ali Gholipour	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	Training and Inference with Integers in Deep Neural Networks	2018	Shuang Wu Guoqi Li Feng Chen Luping Shi	1
+ PDF Chat	The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping	2020	Alex Zwanenburg Martin Vallières Mahmoud A. Abdalah Hugo J.W.L. Aerts Vincent Andrearczyk Aditya Apte Saeed Ashrafinia Spyridon Bakas Roelof J. Beukinga Ronald Boellaard	1
+ PDF Chat	Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers	2020	John Mongan Linda Moy Charles E. Kahn	1
+	Federated Learning With Differential Privacy: Algorithms and Performance Analysis	2020	Kang Wei Jun Li Ming Ding Chuan Ma Howard H. Yang Farhad Farokhi Shi Jin Tony Q. S. Quek H. Vincent Poor	1
+	Visual Storytelling	2016	Ting-Hao Huang Francis Ferraro Nasrin Mostafazadeh Ishan Misra Aishwarya Agrawal Jacob Devlin Ross Girshick Xiaodong He Pushmeet Kohli	1
+ PDF Chat	Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem	2020	Johannes Hofmanninger Florian Prayer Jeanny Pan Sebastian Röhrich Helmut Prosch Georg Langs	1