55 citations · 285 across the 36 of their papers we have counts for
6 papers · 1 filter
An exact test for significance of clusters in binary data
James Mathews, Cameron Crowe, Rami Vanguri +3
Unsupervised clustering of feature matrix data is an indispensible technique for exploratory data analysis and quality control of experimental data. However, clusters are difficult…
Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans
Navdeep Dahiya, Gourav Jhanwar, Anthony Yezzi +2
Deep learning (DL) 3D dose prediction has recently gained a lot of attention. However, the variability of plan quality in the training dataset, generated manually by planners with…
FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos
Shawn Mathew, Saad Nadeem, Arie Kaufman
Haustral folds are colon wall protrusions implicated for high polyp miss rate during optical colonoscopy procedures. If segmented accurately, haustral folds can allow for better es…
Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy
Donghoon Lee, Sadegh R Alam, Jue Jiang +3
Purpose: Radiotherapy presents unique challenges and clinical requirements for longitudinal tumor and organ-at-risk (OAR) prediction during treatment. The challenges include tumor…
Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation
Navdeep Dahiya, Sadegh R Alam, Pengpeng Zhang +3
In current clinical practice, noisy and artifact-ridden weekly cone-beam computed tomography (CBCT) images are only used for patient setup during radiotherapy. Treatment planning i…
Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations
Shawn Mathew, Saad Nadeem, Arie Kaufman
Optical colonoscopy (OC), the most prevalent colon cancer screening tool, has a high miss rate due to a number of factors, including the geometry of the colon (haustral fold and sh…