Nicholas J. Durr

According to our database, Nicholas J. Durr authored at least 31 papers between 2014 and 2023.

Collaborative distances:

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

2023

Colonoscopy 3D video dataset with paired depth from 2D-3D registration.

Taylor L. Bobrow, Mayank Golhar, Rohan Vijayan, Venkata S. Akshintala, Juan R. Garcia, Nicholas J. Durr

Medical Image Anal., December, 2023

Lens Free Holographic Imaging for Urinary Tract Infection Screening.

Gregory N. McKay, Anisha Oommen, Carolina Pacheco, Mason T. Chen, Stuart C. Ray, René Vidal, Benjamin D. Haeffele, Nicholas J. Durr

IEEE Trans. Biomed. Eng., March, 2023

2022

GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification.

Mayank Golhar, Taylor L. Bobrow, Saowanee Ngamruengphong, Nicholas J. Durr

CoRR, 2022

2021

EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.

Kutsev Bengisu Ozyoruk, Guliz Irem Gokceler, Taylor L. Bobrow, Gulfize Coskun, Kagan Incetan, Yasin Almalioglu, Faisal Mahmood, Eva Curto, Luis Perdigoto, Marina Oliveira, Hasan Sahin, Helder Araújo, Henrique Alexandrino, Nicholas J. Durr, Hunter B. Gilbert, Mehmet Turan

Medical Image Anal., 2021

VR-Caps: A Virtual Environment for Capsule Endoscopy.

Kagan Incetan, Ibrahim Omer Celik, Abdulhamid Obeid, Guliz Irem Gokceler, Kutsev Bengisu Ozyoruk, Yasin Almalioglu, Richard J. Chen, Faisal Mahmood, Hunter Gilbert, Nicholas J. Durr, Mehmet Turan

Medical Image Anal., 2021

Improving Colonoscopy Lesion Classification Using Semi-Supervised Deep Learning.

Mayank Golhar, Taylor L. Bobrow, Mirmilad Pourmousavi Khoshknab, Simran Jit, Saowanee Ngamruengphong, Nicholas J. Durr

IEEE Access, 2021

A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos.

Luojie Huang, Gregory N. McKay, Nicholas J. Durr

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images.

Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr

IEEE Trans. Medical Imaging, 2020

GANPOP: Generative Adversarial Network Prediction of Optical Properties From Single Snapshot Wide-Field Images.

Mason T. Chen, Faisal Mahmood, Jordan A. Sweer, Nicholas J. Durr

IEEE Trans. Medical Imaging, 2020

EndoL2H: Deep Super-Resolution for Capsule Endoscopy.

Yasin Almalioglu, Kutsev Bengisu Ozyoruk, Abdulkadir Gokce, Kagan Incetan, Guliz Irem Gokceler, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nicholas J. Durr, Faisal Mahmood, Mehmet Turan

IEEE Trans. Medical Imaging, 2020

Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos with Bidirectional Temporal Deep Learning Tracking Algorithm.

Luojie Huang, Gregory N. McKay, Nicholas J. Durr

CoRR, 2020

Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning.

Mason T. Chen, Nicholas J. Durr

CoRR, 2020

Quantitative Evaluation of Endoscopic SLAM Methods: EndoSLAM Dataset.

Kutsev Bengisu Ozyoruk, Kagan Incetan, Gulfize Coskun, Guliz Irem Gokceler, Yasin Almalioglu, Faisal Mahmood, Nicholas J. Durr, Eva Curto, Luis Perdigoto, Marina Oliveira, Helder Araújo, Henrique Alexandrino, Hunter B. Gilbert, Mehmet Turan

CoRR, 2020

EndoL2H: Deep Super-Resolution for Capsule Endoscopy.

Yasin Almalioglu, Abdulkadir Gokce, Kagan Incetan, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nicholas J. Durr, Faisal Mahmood, Mehmet Turan

CoRR, 2020

2019

Learning to Navigate Endoscopic Capsule Robots.

Mehmet Turan, Yasin Almalioglu, Hunter B. Gilbert, Faisal Mahmood, Nicholas J. Durr, Helder Araújo, Alp Eren Sari, Anurag Ajay, Metin Sitti

IEEE Robotics Autom. Lett., 2019

SLAM Endoscopy enhanced by adversarial depth prediction.

Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr

CoRR, 2019

Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data.

Faisal Mahmood, Richard J. Chen, Daniel Borders, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

Polyp segmentation and classification using predicted depth from monocular endoscopy.

Faisal Mahmood, Ziyun Yang, Richard J. Chen, Daniel Borders, Wenhao Xu, Nicholas J. Durr

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation).

Faisal Mahmood, Jeremiah W. Johnson, Ziyun Yang, Nicholas J. Durr

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Structured Prediction using cGANs with Fusion Discriminator.

Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018

Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training.

Faisal Mahmood, Richard J. Chen, Nicholas J. Durr

IEEE Trans. Medical Imaging, 2018

Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy.

Faisal Mahmood, Nicholas J. Durr

Medical Image Anal., 2018

Multimodal Densenet.

Faisal Mahmood, Ziyun Yang, Thomas Ashley, Nicholas J. Durr

CoRR, 2018

DeepLSR: Deep learning approach for laser speckle reduction.

Taylor L. Bobrow, Faisal Mahmood, Miguel Inserni, Nicholas J. Durr

CoRR, 2018

Rethinking Monocular Depth Estimation with Adversarial Training.

Richard J. Chen, Faisal Mahmood, Alan L. Yuille, Nicholas J. Durr

CoRR, 2018

Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images.

Faisal Mahmood, Richard J. Chen, Sandra Sudarsky, Daphne Yu, Nicholas J. Durr

CoRR, 2018

Deep learning-based depth estimation from a synthetic endoscopy image training set.

Faisal Mahmood, Nicholas J. Durr

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study.

Haichong K. Zhang, Younsu Kim, Abhay Moghekar, Nicholas J. Durr, Emad M. Boctor

Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

Topographical reconstructions from monocular optical colonoscopy images via deep learning.

Faisal Mahmood, Nicholas J. Durr

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Toward dynamic lumbar punctures guidance based on single element synthetic tracked aperture ultrasound imaging.

Haichong K. Zhang, Melissa Lin, Younsu Kim, Mateo Paredes, Karun Kannan, Nisu Patel, Abhay Moghekar, Nicholas J. Durr, Emad M. Boctor

Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

2014

Feature Space Optimization for Virtual Chromoendoscopy Augmented by Topography.

Germán González, Vicente Parot, William Lo, Benjamin J. Vakoc, Nicholas J. Durr

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014