Henry C. Woodruff

According to our database, Henry C. Woodruff authored at least 15 papers between 2016 and 2023.

Collaborative distances:

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

2023

MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets.

Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J. A. van Nijnatten, Marc B. I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon

Neural Networks, August, 2023

Towards texture accurate slice interpolation of medical images using PixelMiner.

William Rogers, S. A. Keek, Manon Beuque, Elizaveta Lavrova, Sergey Primakov, G. Wu, C. Yan, S. Sanduleanu, H. A. Gietema, R. Casale, M. Occhipinti, Henry C. Woodruff, A. Jochems, Philippe Lambin

Comput. Biol. Medicine, July, 2023

Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis.

Elizaveta Lavrova, Sergey Primakov, Zohaib Salahuddin, Manon Beuque, Damon Verstappen, Henry C. Woodruff, Philippe Lambin

Softw. Impacts, May, 2023

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.

Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.

CoRR, 2023

UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images.

Elizaveta Lavrova, Zohaib Salahuddin, Henry C. Woodruff, Mohamed Kassem, Robin Camarasa, Anja G. van der Kolk, Paul H. J. Nederkoorn, Daniel Bos, Jeroen Hendrikse, M. Eline Kooi, Philippe Lambin

IEEE Access, 2023

Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts.

Zohaib Salahuddin, Sheng Kuang, Philippe Lambin, Henry C. Woodruff

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

2022

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.

Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang

Inf. Fusion, 2022

Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis.

Sergey Primakov, Elizaveta Lavrova, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin

CoRR, 2022

Transparency of deep neural networks for medical image analysis: A review of interpretability methods.

Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee, Philippe Lambin

Comput. Biol. Medicine, 2022

HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT Images.

Zohaib Salahuddin, Yi Chen, Xian Zhong, Nastaran Mohammadian Rad, Henry C. Woodruff, Philippe Lambin

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging.

Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Konstantinos Marias, Manolis Tsiknakis, Sara Colantonio, Nickolas Papanikolaou, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin, Luis Martí-Bonmatí

CoRR, 2021

Privacy preserving distributed learning classifiers - Sequential learning with small sets of data.

Fadila Zerka, Visara Urovi, Fabio Bottari, Ralph T. H. Leijenaar, Sean Walsh, Hanif Gabrani-Juma, Martin Gueuning, Akshayaa Vaidyanathan, Wim Vos, Mariaelena Occhipinti, Henry C. Woodruff, Michel Dumontier, Philippe Lambin

Comput. Biol. Medicine, 2021

Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging.

Manon Beuque, Marta Martin-Lorenzo, Benjamin Balluff, Henry C. Woodruff, Marit Lucas, Daniel M. de Bruin, Janita E. van Timmeren, Onno J. de Boer, Ron M. A. Heeren, Sybren L. Meijer, Philippe Lambin

Comput. Biol. Medicine, 2021

2020

Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM).

Fadila Zerka, Visara Urovi, Akshayaa Vaidyanathan, Samir Barakat, Ralph T. H. Leijenaar, Sean Walsh, Hanif Gabrani-Juma, Benjamin Miraglio, Henry C. Woodruff, Michel Dumontier, Philippe Lambin

IEEE Access, 2020

2016

New pathways for end-to-end validation of CT ventilation imaging (CTVI) using deformable image registration.

John Kipritidis, Henry C. Woodruff, Enid M. Eslick, Fiona Hegi-Johnson, Paul J. Keall

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016