185 citations
- Rutgers, The State University of New JerseyUS9 papers
- Johnson UniversityUS3 papers
- Princeton UniversityUS3 papers
- Institute for Advanced StudyUS2 papers
- Johns Hopkins UniversityUS2 papers
- Stanford UniversityUS2 papers
- University of British ColumbiaCA2 papers
- American Cancer SocietyUS1 paper
- Broad InstituteUS1 paper
- Canadian Institute for Theoretical AstrophysicsCA1 paper
- Cancer Prevention Institute of CaliforniaUS1 paper
- Cancer Research And BiostatisticsUS1 paper
12 papers
Normalization and selecting non-differentially expressed genes improve machine learning modelling of cross-platform transcriptomic data
Fei Deng, Catherine H Feng, Nan Gao +1
Normalization is a critical step in quantitative analyses of biological processes. Recent works show that cross-platform integration and normalization enable machine learning (ML)…
Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis
Xiao Qi, David J. Foran, John L. Nosher +1
Under the global COVID-19 crisis, accurate diagnosis of COVID-19 from Chest X-ray (CXR) images is critical. To reduce intra- and inter-observer variability, during the radiological…
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
Hui Che, Sumana Ramanathan, David Foran +3
With the success of deep learning-based methods applied in medical image analysis, convolutional neural networks (CNNs) have been investigated for classifying liver disease from ul…
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray Images
Xiao Qi, John L. Nosher, David J. Foran +1
Computed tomography (CT) and chest X-ray (CXR) have been the two dominant imaging modalities deployed for improved management of Coronavirus disease 2019 (COVID-19). Due to faster…
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
Hui Qu, Pengxiang Wu, Qiaoying Huang +7
Nuclei segmentation is a fundamental task in histopathology image analysis. Typically, such segmentation tasks require significant effort to manually generate accurate pixel-wise a…
Understanding the role of phenotypic switching in cancer drug resistance
Einar Bjarki Gunnarsson, Subhajyoti De, Kevin Leder +1
The emergence of acquired drug resistance in cancer represents a major barrier to treatment success. While research has traditionally focused on genetic sources of resistance, rece…