14 citations · 43 across the 7 of their papers we have counts for
7 papers
Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection
Alex Chen, Nathan Lay, Stephanie Harmon +6
Prostate cancer is one of the most prevalent malignancies in the world. While deep learning has potential to further improve computer-aided prostate cancer detection on MRI, its ef…
Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging
Pouria Yazdian Anari, Fiona Obiezu, Nathan Lay +16
Introduction This study explores the use of the latest You Only Look Once (YOLO V7) object detection method to enhance kidney detection in medical imaging by training and testing a…
Automatic segmentation of clear cell renal cell tumors, kidney, and cysts in patients with von Hippel-Lindau syndrome using U-net architecture on magnetic resonance images
Pouria Yazdian Anari, Nathan Lay, Aditi Chaurasia +13
We demonstrate automated segmentation of clear cell renal cell carcinomas (ccRCC), cysts, and surrounding normal kidney parenchyma in patients with von Hippel-Lindau (VHL) syndrome…
Random Hinge Forest for Differentiable Learning
Nathan Lay, Adam P. Harrison, Sharon Schreiber +2
We propose random hinge forests, a simple, efficient, and novel variant of decision forests. Importantly, random hinge forests can be readily incorporated as a general component wi…
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation
Holger R. Roth, Le Lu, Nathan Lay +4
Accurate and automatic organ segmentation from 3D radiological scans is an important yet challenging problem for medical image analysis. Specifically, the pancreas demonstrates ver…
The Artificial Regression Market
Nathan Lay, Adrian Barbu
The Artificial Prediction Market is a recent machine learning technique for multi-class classification, inspired from the financial markets. It involves a number of trained market…