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ORCIDNicholas J. Durr
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Journal Articles
- 2024
[j12]Shiker S. Nair
, Alina Guo, Joseph Boen, Ataes Aggarwal, Ojas Chahal, Arushi Tandon, Meer Patel, Sreenidhi Sankararaman, Nicholas J. Durr, Tej D. Azad, Romain Pirracchio, Robert D. Stevens:
A deep learning approach for generating intracranial pressure waveforms from extracranial signals routinely measured in the intensive care unit. Comput. Biol. Medicine 177: 108677 (2024)- 2023
- [j11]Taylor L. Bobrow, Mayank Golhar, Rohan Vijayan, Venkata S. Akshintala, Juan R. Garcia, Nicholas J. Durr:
Colonoscopy 3D video dataset with paired depth from 2D-3D registration. Medical Image Anal. 90: 102956 (2023) - [j10]Gregory N. McKay, Anisha Oommen, Carolina Pacheco, Mason T. Chen, Stuart C. Ray, René Vidal, Benjamin D. Haeffele, Nicholas J. Durr:
Lens Free Holographic Imaging for Urinary Tract Infection Screening. IEEE Trans. Biomed. Eng. 70(3): 1053-1061 (2023) - 2021
- [j9]Mayank Golhar, Taylor L. Bobrow, Mirmilad Pourmousavi Khoshknab, Simran Jit, Saowanee Ngamruengphong, Nicholas J. Durr:
Improving Colonoscopy Lesion Classification Using Semi-Supervised Deep Learning. IEEE Access 9: 631-640 (2021) - [j8]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:
VR-Caps: A Virtual Environment for Capsule Endoscopy. Medical Image Anal. 70: 101990 (2021) - [j7]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:
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos. Medical Image Anal. 71: 102058 (2021) - 2020
- [j6]Mason T. Chen, Faisal Mahmood, Jordan A. Sweer, Nicholas J. Durr:
GANPOP: Generative Adversarial Network Prediction of Optical Properties From Single Snapshot Wide-Field Images. IEEE Trans. Medical Imaging 39(6): 1988-1999 (2020) - [j5]Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. IEEE Trans. Medical Imaging 39(11): 3257-3267 (2020) - [j4]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:
EndoL2H: Deep Super-Resolution for Capsule Endoscopy. IEEE Trans. Medical Imaging 39(12): 4297-4309 (2020) - 2019
- [j3]Mehmet Turan, Yasin Almalioglu, Hunter B. Gilbert, Faisal Mahmood, Nicholas J. Durr, Helder Araújo, Alp Eren Sari, Anurag Ajay, Metin Sitti:
Learning to Navigate Endoscopic Capsule Robots. IEEE Robotics Autom. Lett. 4(3): 3075-3082 (2019) - 2018
- [j2]Faisal Mahmood, Nicholas J. Durr:
Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy. Medical Image Anal. 48: 230-243 (2018) - [j1]Faisal Mahmood, Richard Chen, Nicholas J. Durr:
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. IEEE Trans. Medical Imaging 37(12): 2572-2581 (2018)
Conference and Workshop Papers
- 2021
- [c10]Luojie Huang, Gregory N. McKay, Nicholas J. Durr:
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos. MICCAI (8) 2021: 415-424 - 2019
- [c9]Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille:
Structured Prediction using cGANs with Fusion Discriminator. DGS@ICLR 2019 - [c8]Faisal Mahmood, Jeremiah W. Johnson, Ziyun Yang, Nicholas J. Durr:
Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation). Computer-Aided Diagnosis 2019: 109501T - [c7]Faisal Mahmood, Ziyun Yang, Richard Chen, Daniel Borders, Wenhao Xu, Nicholas J. Durr:
Polyp segmentation and classification using predicted depth from monocular endoscopy. Computer-Aided Diagnosis 2019: 1095011 - [c6]Faisal Mahmood, Richard Chen, Daniel Borders, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data. Digital Pathology 2019: 109560N - 2018
- [c5]Faisal Mahmood, Nicholas J. Durr:
Topographical reconstructions from monocular optical colonoscopy images via deep learning. ISBI 2018: 216-219 - [c4]Haichong K. Zhang, Younsu Kim, Abhay Moghekar, Nicholas J. Durr, Emad M. Boctor:
Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 82-89 - [c3]Faisal Mahmood, Nicholas J. Durr:
Deep learning-based depth estimation from a synthetic endoscopy image training set. Image Processing 2018: 1057421 - 2017
- [c2]Haichong K. Zhang, Melissa Lin, Younsu Kim, Mateo Paredes, Karun Kannan, Nisu Patel, Abhay Moghekar, Nicholas J. Durr, Emad M. Boctor:
Toward dynamic lumbar punctures guidance based on single element synthetic tracked aperture ultrasound imaging. Image-Guided Procedures 2017: 101350J - 2014
- [c1]Germán González, Vicente Parot, William Lo, Benjamin J. Vakoc, Nicholas J. Durr:
Feature Space Optimization for Virtual Chromoendoscopy Augmented by Topography. MICCAI (1) 2014: 642-649
Informal and Other Publications
- 2022
- [i18]Mayank Golhar, Taylor L. Bobrow, Saowanee Ngamruengphong, Nicholas J. Durr:
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification. CoRR abs/2205.02840 (2022) - [i17]Taylor L. Bobrow, Mayank Golhar, Rohan Vijayan, Venkata S. Akshintala, Juan R. Garcia, Nicholas J. Durr:
Colonoscopy 3D Video Dataset with Paired Depth from 2D-3D Registration. CoRR abs/2206.08903 (2022) - 2020
- [i16]Yasin Almalioglu, Abdulkadir Gokce, Kagan Incetan, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nicholas J. Durr, Faisal Mahmood, Mehmet Turan:
EndoL2H: Deep Super-Resolution for Capsule Endoscopy. CoRR abs/2002.05459 (2020) - [i15]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:
Quantitative Evaluation of Endoscopic SLAM Methods: EndoSLAM Dataset. CoRR abs/2006.16670 (2020) - [i14]Mason T. Chen, Nicholas J. Durr:
Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning. CoRR abs/2007.00760 (2020) - [i13]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:
VR-Caps: A Virtual Environment for Capsule Endoscopy. CoRR abs/2008.12949 (2020) - [i12]Mayank Golhar, Taylor L. Bobrow, Mirmilad Pourmousavi Khoshknab, Simran Jit, Saowanee Ngamruengphong, Nicholas J. Durr:
Improving colonoscopy lesion classification using semi-supervised deep learning. CoRR abs/2009.03162 (2020) - [i11]Luojie Huang, Gregory N. McKay, Nicholas J. Durr:
Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos with Bidirectional Temporal Deep Learning Tracking Algorithm. CoRR abs/2011.13371 (2020) - 2019
- [i10]Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille:
Structured Prediction using cGANs with Fusion Discriminator. CoRR abs/1904.13358 (2019) - [i9]Mason T. Chen, Faisal Mahmood, Jordan A. Sweer, Nicholas J. Durr:
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images. CoRR abs/1906.05360 (2019) - [i8]Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr:
SLAM Endoscopy enhanced by adversarial depth prediction. CoRR abs/1907.00283 (2019) - 2018
- [i7]Faisal Mahmood, Richard Chen, Sandra Sudarsky, Daphne Yu, Nicholas J. Durr:
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images. CoRR abs/1805.08400 (2018) - [i6]Richard Chen, Faisal Mahmood, Alan L. Yuille, Nicholas J. Durr:
Rethinking Monocular Depth Estimation with Adversarial Training. CoRR abs/1808.07528 (2018) - [i5]Faisal Mahmood, Daniel Borders, Richard Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. CoRR abs/1810.00236 (2018) - [i4]Taylor L. Bobrow, Faisal Mahmood, Miguel Inserni, Nicholas J. Durr:
DeepLSR: Deep learning approach for laser speckle reduction. CoRR abs/1810.10039 (2018) - [i3]Faisal Mahmood, Ziyun Yang, Thomas Ashley, Nicholas J. Durr:
Multimodal Densenet. CoRR abs/1811.07407 (2018) - 2017
- [i2]Faisal Mahmood, Nicholas J. Durr:
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy. CoRR abs/1710.11216 (2017) - [i1]Faisal Mahmood, Richard Chen, Nicholas J. Durr:
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. CoRR abs/1711.06606 (2017)
Coauthor Index
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