Segmentation of Small Bowel Tumors in Wireless Capsule Endoscopy Using Level Set Method. - Mahdi Alizadeh; Hamid Soltanian-Zadeh; Omid Haji Maghsoudi (CBMS, 2014)

Superpixels based marker tracking vs. hue thresholding in rodent biomechanics application. - Omid Haji Maghsoudi; Annie Vahedipour Tabrizi; Benjamin Robertson; Andrew Spence (ACSSC, 2017)

Superpixel Based Segmentation and Classification of Polyps in Wireless Capsule Endoscopy. - Omid Haji Maghsoudi (CoRR, 2017)

Superpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule Endoscopy. - Omid Haji Maghsoudi (CoRR, 2017)

3D Based Landmark Tracker Using Superpixels Based Segmentation for Neuroscience and Biomechanics Studies. - Omid Haji Maghsoudi; Andrew Spence (CoRR, 2017)

Feature Based Framework to Detect Diseases, Tumor, and Bleeding in Wireless Capsule Endoscopy. - Omid Haji Maghsoudi; Mahdi Alizadeh (CoRR, 2018)

Application of Superpixels to Segment Several Landmarks in Running Rodents. - Omid Haji Maghsoudi; Annie Vahedipour Tabrizi; Benjamin Robertson; Andrew Spence (CoRR, 2018)

Open-source Python software for analysis of 3D kinematics from quadrupedal animals. - Omid Haji Maghsoudi; Annie Vahedipour Tabrizi; Thomas Hallowell; Andrew Spence (Biomed. Signal Process. Control., 2019)

A novel method for robust markerless tracking of rodent paws in 3D. - Omid Haji Maghsoudi; Annie Vahedipour Tabrizi; Andrew Spence (EURASIP J. Image Video Process., 2019)

Three-dimensional-based landmark tracker employing a superpixels method for neuroscience, biomechanics, and biology studies. - Omid Haji Maghsoudi; Annie Vahedipour Tabrizi; Andrew Spence (Int. J. Imaging Syst. Technol., 2019)

Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis. - Raymond Joseph Acciavatti; Eric A. Cohen; Omid Haji Maghsoudi; Aimilia Gastounioti; Lauren Pantalone; Meng-Kang Hsieh; Emily F. Conant; Christopher G. Scott; Stacey J. Winham; Karla Kerlikowske; Celine Vachon; Andrew D. A. Maidment; et al. (Computer-Aided Diagnosis, 2020)

O-Net: An Overall Convolutional Network for Segmentation Tasks. - Omid Haji Maghsoudi; Aimilia Gastounioti; Lauren Pantalone; Christos Davatzikos; Spyridon Bakas; Despina Kontos (MLMI@MICCAI, 2020)

Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. - Omid Haji Maghsoudi; Aimilia Gastounioti; Christopher G. Scott; Lauren Pantalone; Fang-Fang Wu; Eric A. Cohen; Stacey J. Winham; Emily F. Conant; Celine M. Vachon; Despina Kontos (CoRR, 2020)

Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. - Omid Haji Maghsoudi; Aimilia Gastounioti; Christopher G. Scott; Lauren Pantalone; Fang-Fang Wu; Eric A. Cohen; Stacey J. Winham; Emily F. Conant; Celine M. Vachon; Despina Kontos (Medical Image Anal., 2021)