14 citations · 17 across the 5 of their papers we have counts for
6 papers
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology
Tan H. Nguyen, Dinkar Juyal, Jin Li +10
Differences in staining and imaging procedures can cause significant color variations in histopathology images, leading to poor generalization when deploying deep-learning models t…
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
Tan Nguyen, Binh-Son Hua, Ngan Le
Medical image segmentation has been so far achieving promising results with Convolutional Neural Networks (CNNs). However, it is arguable that in traditional CNNs, its pooling laye…
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
Ngoc-Vuong Ho, Tan Nguyen, Gia-Han Diep +2
Medical image analysis using deep learning has recently been prevalent, showing great performance for various downstream tasks including medical image segmentation and its sibling,…
Tethered capsule en face optical coherence tomography for imaging Barrett's esophagus in unsedated patients
Kaicheng Liang, Osman O. Ahsen, Annalee Murphy +7
Detection of Barrett's esophagus (BE) at points of care outside the endoscopy suite may improve screening access and reduce esophageal adenocarcinoma mortality. Tethered capsule op…
Quantitative Histopathology of Stained Tissues using Color Spatial Light Interference Microscopy (cSLIM)
Hassaan Majeed, Adib Keikhosravi, Mikhail E. Kandel +6
Tissue biopsy evaluation in the clinic is in need of quantitative disease markers for diagnosis and, most importantly, prognosis. Among the new technologies, quantitative phase ima…
Label-free quantitative screening of breast tissue using Spatial Light Interference Microscopy (SLIM)
Hassaan Majeed, Tan Huu Nguyen, Mikhail Eugene Kandel +2
Breast cancer is the most common type of cancer among women worldwide. The standard histopathology of breast tissue, the primary means of disease diagnosis, involves manual microsc…