29 citations · 55 across the 4 of their papers we have counts for
7 papers · 1 filter
PAN: Projective Adversarial Network for Medical Image Segmentation
Naji Khosravan, Aliasghar Mortazi, Michael Wallace +1
Adversarial learning has been proven to be effective for capturing long-range and high-level label consistencies in semantic segmentation. Unique to medical imaging, capturing 3D s…
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Xiahai Zhuang, Lei Li, Christian Payer +31
Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable…
S4ND: Single-Shot Single-Scale Lung Nodule Detection
Naji Khosravan, Ulas Bagci
The state of the art lung nodule detection studies rely on computationally expensive multi-stage frameworks to detect nodules from CT scans. To address this computational challenge…
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning
Naji Khosravan, Haydar Celik, Baris Turkbey +3
There are at least two categories of errors in radiology screening that can lead to suboptimal diagnostic decisions and interventions:(i)human fallibility and (ii)complexity of vis…
Semi-supervised multi-task learning for lung cancer diagnosis
Naji Khosravan, Ulas Bagci
Early detection of lung nodules is of great importance in lung cancer screening. Existing research recognizes the critical role played by CAD systems in early detection and diagnos…
Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning
Dustin Morley, Hassan Foroosh, Saad Shaikh +1
We propose a new deep learning approach for automatic detection and segmentation of fluid within retinal OCT images. The proposed framework utilizes both ResNet and Encoder-Decoder…