activity
20172020
most citedSuperpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule Endoscopy

3 citations · 3 across the 2 of their papers we have counts for

collaborators

5 papers

eess.IV2020

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 Scott +7

Breast density is an important risk factor for breast cancer that also affects the specificity and sensitivity of screening mammography. Current federal legislation mandates report…

physics.app-ph2018

Leveraging Elastic instabilities for Amplified Performance: spine-inspired high-speed and high-force soft robots

Yichao Tang, Yinding Chi, Jiefeng Sun +6

Soft machines typically exhibit slow locomotion speed and low manipulation strength because of intrinsic limitations of soft materials. Here, we present a generic design principle…

cs.CV2018

Application of Superpixels to Segment Several Landmarks in Running Rodents

Omid Haji Maghsoudi, Annie Vahedipour, Benjamin Robertson +1

Examining locomotion has improved our basic understanding of motor control and aided in treating motor impairment. Mice and rats are the model system of choice for basic neuroscien…

cs.CV2017

3D Based Landmark Tracker Using Superpixels Based Segmentation for Neuroscience and Biomechanics Studies

Omid Haji Maghsoudi, Andrew Spence

Examining locomotion has improved our basic understanding of motor control and aided in treating motor impairment. Mice and rats are premier models of human disease and increasingl…

cs.CV20173 cited

Superpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule Endoscopy

Omid Haji Maghsoudi

Wireless Capsule Endoscopy (WCE) is relatively a new technology to examine the entire GI trace. During an examination, it captures more than 55,000 frames. Reviewing all these imag…