no code implementations • 3 Aug 2021 • Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang, Jared Dunnmon, Arjun Soin, Guido Davidzon, Akshay Chaudhari, Matthew P Lungren
FDG PET/CT imaging is a resource intensive examination critical for managing malignant disease and is particularly important for longitudinal assessment during therapy.
1 code implementation • 17 Feb 2021 • Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren
Recent advances in training deep learning models have demonstrated the potential to provide accurate chest X-ray interpretation and increase access to radiology expertise.
no code implementations • 12 Nov 2020 • Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Jeremy Irvin, Andrew Y. Ng, Matthew Lungren
In this study, we measured the diagnostic performance for 8 different chest x-ray models when applied to photos of chest x-rays.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan
Understanding a medical conversation between a patient and a physician poses unique natural language understanding challenge since it combines elements of standard open-ended conversation with very domain-specific elements that require expertise and medical knowledge.
no code implementations • 28 Oct 2020 • Viswesh Krishna, Anirudh Joshi, Philip L. Bulterys, Eric Yang, Andrew Y. Ng, Pranav Rajpurkar
The application of deep learning to pathology assumes the existence of digital whole slide images of pathology slides.
no code implementations • 18 Sep 2020 • Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan
Understanding a medical conversation between a patient and a physician poses a unique natural language understanding challenge since it combines elements of standard open ended conversation with very domain specific elements that require expertise and medical knowledge.
no code implementations • 26 Feb 2020 • Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren
First, we find that the top 10 chest x-ray models on the CheXpert competition achieve an average AUC of 0. 851 on the task of detecting TB on two public TB datasets without fine-tuning or including the TB labels in training data.
no code implementations • WS 2019 • Anirudh Joshi, Timothy Baldwin, Richard Sinnott, Cecile Paris
Argument component extraction is a challenging and complex high-level semantic extraction task.
no code implementations • SEMEVAL 2018 • Anirudh Joshi, Tim Baldwin, Richard O. Sinnott, Cecile Paris
This paper describes a warrant classification system for SemEval 2018 Task 12, that attempts to learn semantic representations of reasons, claims and warrants.