222 citations · 299 across the 3 of their papers we have counts for
4 papers
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks
Jonathan Rubin, Deepan Sanghavi, Claire Zhao +3
The MIMIC-CXR dataset is (to date) the largest released chest x-ray dataset consisting of 473,064 chest x-rays and 206,574 radiology reports collected from 63,478 patients. We pres…
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference
Reza Ghaeini, Sadid A. Hasan, Vivek Datla +7
We present a novel deep learning architecture to address the natural language inference (NLI) task. Existing approaches mostly rely on simple reading mechanisms for independent enc…
Condensed Memory Networks for Clinical Diagnostic Inferencing
Aaditya Prakash, Siyuan Zhao, Sadid A. Hasan +5
Diagnosis of a clinical condition is a challenging task, which often requires significant medical investigation. Previous work related to diagnostic inferencing problems mostly con…
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Aaditya Prakash, Sadid A. Hasan, Kathy Lee +4
In this paper, we propose a novel neural approach for paraphrase generation. Conventional para- phrase generation methods either leverage hand-written rules and thesauri-based alig…