Nicholas Schaub

According to our database, Nicholas Schaub authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines.

Vishakha Goyal, Nicholas J. Schaub, Ty C. Voss, Nathan Hotaling

BMC Bioinform., December, 2023

Theia: Bleed-Through Estimation with Convolutional Neural Networks.

Najib Ishaq, Nathan Hotaling, Nicholas Schaub

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Theia: Bleed-Through Estimation with Interaction Terms and Convolutional Kernels.

Najib Ishaq, Nathan Hotaling, Nicholas Schaub

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Quantifying Variability in Microscopy Image Analyses for COVID-19 Drug Discovery.

Mylene Simon, Sunny Yu, Jayapriya Nagarajan, Peter Bajcsy, Nicholas J. Schaub, Mohamed Ouladi, Sudharsan Prativadi, Nathan Hotaling

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Neural Network Calculator for Designing Trojan Detectors.

Peter Bajcsy, Nicholas J. Schaub, Michael Majurski

CoRR, 2020

Assessing Intelligence in Artificial Neural Networks.

Nicholas J. Schaub, Nathan Hotaling

CoRR, 2020

2019

Cell Image Segmentation Using Generative Adversarial Networks, Transfer Learning, and Augmentations.

Michael Majurski, Petru Manescu, Sarala Padi, Nicholas Schaub, Nathan Hotaling, Carl Simon Jr, Peter Bajcsy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017

Modeling, validation and verification of three-dimensional cell-scaffold contacts from terabyte-sized images.

Peter Bajcsy, Soweon Yoon, Stephen J. Florczyk, Nathan Hotaling, Mylene Simon, Piotr M. Szczypinski, Nicholas Schaub, Carl G. Simon, Mary Brady, Ram D. Sriram

BMC Bioinform., 2017

2016

Modeling, validation and verification of cell-scaffold contact measurements over terabyte-sized 3D image collection.

Peter Bajcsy, Soweon Yoon, Mylene Simon, Mary Brady, Ram D. Sriram, Nathan Hotaling, Nicholas Schaub, Carl G. Simon, Piotr M. Szczypinski, Stephen J. Florczyk

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016