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Search Publications by: Peter Bajcsy (Fed)

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Displaying 26 - 50 of 121

Object Measurements from 2D Microscopy Images

December 11, 2020
Author(s)
Peter Bajcsy, Joe Chalfoun, Mylene Simon, Mary C. Brady, Marcin Kociolek
This chapter addresses object measurements from 2D microscopy images. Object measurements (called image features) vary in terms of theoretical formulas for the same image feature, the physical units used to represent pixel-based measurements, the

Trojan Detection Evaluation: Finding Hidden Behavior in AI Models

October 10, 2020
Author(s)
Michael Paul Majurski, Derek Juba, Timothy Blattner, Peter Bajcsy, Walid Keyrouz
Neural Networks are trained on data, learn relationships in that data, and then are deployed to the world to operate on new data. For example, a traffic sign classification AI can differentiate stop signs and speed limit signs. One potential problem is

Approaches to Training Multi-Class Semantic Image Segmentation of Damage in Concrete

May 14, 2020
Author(s)
Peter Bajcsy, Steven B. Feldman, Michael P. Majurski, Kenneth A. Snyder, Mary C. Brady
This paper addresses the problem of creating a large quantity of high-quality training image segmentation masks from scanning electron microscopy (SEM) images of concrete samples that exhibit progressive amounts of degradation resulting from alkali-silica

Quantitative Bright-Field Microscopy Combined with Deep Neural Networks Predict Live Tissue Function

February 29, 2020
Author(s)
Carl Simon Jr., Nicholas J. Schaub, Petru S. Manescu, Sarala Padi, Mylene Simon, Peter Bajcsy, Nathan A. Hotaling, Joe Chalfoun, Mohamed Ouladi, Qin Wan, Kapil Bharti, Ruchi Sharma
Progressive increases in the number of cell therapies in the preclinical and clinical phases has prompted the need for reliable and non-invasive assays to validate transplant function in clinical biomanufacturing. Here, we developed a robust

Comparison of Artificial Intelligence based approaches to cell function prediction

July 11, 2019
Author(s)
Sarala Padi, Petru S. Manescu, Nicholas Schaub, Nathan Hotaling, Carl G. Simon Jr., Peter Bajcsy
Predicting Retinal Pigment Epithelium (RPE) cell functions in stem cell implants using non-invasive bright field microscopy imaging is a critical task for clinical deployment of stem cell therapies. Such cell function predictions can be carried out either

Evaluation of Lateral Resolution of Light Field Cameras

September 8, 2018
Author(s)
Sowon Joy Yoon, Peter Bajcsy, Maritoni A. Litorja, James J. Filliben
Light field cameras are an emerging imaging device for acquiring 3-D information of a scene by capturing a field of light rays traveling in space. As light field cameras become portable, hand- held, and affordable, their potential as a 3-D measurement

Evaluation of Lateral and Depth Resolutions of Light Field Cameras

August 1, 2018
Author(s)
Sowon Joy Yoon, Peter Bajcsy, Maritoni A. Litorja, James J. Filliben
In crime scene investigations, 3D forensic evidence such as tire tread and shoe imprints in substances like mud or snow can often provide useful information to identify suspects and victims. This work focuses on evaluating lateral and depth resolutions of