1 code implementation • 18 Dec 2023 • Shreeram Athreya, Ashwath Radhachandran, Vedrana Ivezić, Vivek Sant, Corey W. Arnold, William Speier
These images are compared with paired images acquired from high resolution devices to demonstrate the model's ability to generate realistic high-quality images across organ systems.
no code implementations • 8 Feb 2023 • Haoyue Zhang, Jennifer S. Polson, Eric J. Yang, Kambiz Nael, William Speier, Corey W. Arnold
This is a promising result that supports future applications of deep learning on CT and CTA for the identification of eligible AIS patients for MTB.
no code implementations • 5 Apr 2022 • Ricky K. Taira, Anders O. Garlid, William Speier
Medical natural language processing (NLP) systems are a key enabling technology for transforming Big Data from clinical report repositories to information used to support disease models and validate intervention methods.
no code implementations • 5 Nov 2020 • Haoyue Zhang, Jennifer S Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El-Saden, Fabien Scalzo, William Speier, Corey W Arnold
We apply this approach to both 2D and 3D CNN architectures with our top model achieving an ROC-AUC value of 0. 74, with a sensitivity of 0. 70 and a specificity of 0. 81 for classifying TSS < 4. 5 hours.
no code implementations • 5 Nov 2020 • Jiayun Li, Wenyuan Li, Anthony Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold
Large numbers of histopathological images have been digitized into high resolution whole slide images, opening opportunities in developing computational image analysis tools to reduce pathologists' workload and potentially improve inter- and intra- observer agreement.
1 code implementation • 26 Sep 2020 • Yiwen Meng, William Speier, Michael K. Ong, Corey W. Arnold
We applied the current trend of pretraining and fine-tuning on EHR data to outperform the current state-of-the-art in chronic disease prediction, and to demonstrate the underlying relation between EHR codes in the sequence.
1 code implementation • 30 May 2020 • Chao Chen, Zhihong Chen, Xinyu Jin, Lanjuan Li, William Speier, Corey W. Arnold
However, training with the global image underutilizes discriminative local information, while providing extra annotations is expensive and subjective.
no code implementations • 18 Oct 2019 • Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold
In this work, we investigate semi-supervised learning (SSL) for image classification using adversarial training.
no code implementations • NeurIPS Workshop Neuro_AI 2019 • Janaki Sheth, Ariel Tankus, Michelle Tran, Nader Pouratian, Itzhak Fried, William Speier
To this end, we aim to create a BCI that decodes text directly from neural signals.
1 code implementation • 9 Jul 2019 • Janaki Sheth, Ariel Tankus, Michelle Tran, Nader Pouratian, Itzhak Fried, William Speier
Brain-Computer Interfaces (BCI) help patients with faltering communication abilities due to neurodegenerative diseases produce text or speech output by direct neural processing.
no code implementations • 30 May 2019 • Jiayun Li, Wenyuan Li, Arkadiusz Gertych, Beatrice S. Knudsen, William Speier, Corey W. Arnold
The model achieved state-of-the-art performance for prostate cancer grading with an accuracy of 85. 11\% for classifying benign, low-grade (Gleason grade 3+3 or 3+4), and high-grade (Gleason grade 4+3 or higher) slides on an independent test set.
no code implementations • 16 May 2019 • Wenyuan Li, Zichen Wang, Jiayun Li, Jennifer Polson, William Speier, Corey Arnold
Recently, semi-supervised learning methods based on generative adversarial networks (GANs) have received much attention.