Nicholas J. Durr
Orcid: 0000-0001-9808-7383
According to our database1,
Nicholas J. Durr
authored at least 32 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A deep learning approach for generating intracranial pressure waveforms from extracranial signals routinely measured in the intensive care unit.
Comput. Biol. Medicine, 2024
2023
Medical Image Anal., December, 2023
IEEE Trans. Biomed. Eng., March, 2023
2022
CoRR, 2022
2021
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.
Medical Image Anal., 2021
IEEE Access, 2021
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos.
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.
IEEE Trans. Medical Imaging, 2020
GANPOP: Generative Adversarial Network Prediction of Optical Properties From Single Snapshot Wide-Field Images.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos with Bidirectional Temporal Deep Learning Tracking Algorithm.
CoRR, 2020
Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning.
CoRR, 2020
2019
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Polyp segmentation and classification using predicted depth from monocular endoscopy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation).
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
2018
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training.
IEEE Trans. Medical Imaging, 2018
Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy.
Medical Image Anal., 2018
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images.
CoRR, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study.
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.
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.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014