Search Results - "Woodruff, Henry C"

Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study by Wu, Guangyao, Woodruff, Henry C, Shen, Jing, Refaee, Turkey, Sanduleanu, Sebastian, Ibrahim, Abdalla, Leijenaar, Ralph T H, Wang, Rui, Xiong, Jingtong, Bian, Jie, Wu, Jianlin, Lambin, Philippe

“…Background Solid components of part-solid nodules (PSNs) at CT are reflective of invasive adenocarcinoma, but studies describing radiomic features of PSNs and…”
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Radiomics: from qualitative to quantitative imaging by Rogers, William, Thulasi Seetha, Sithin, Refaee, Turkey A G, Lieverse, Relinde I Y, Granzier, Renée W Y, Ibrahim, Abdalla, Keek, Simon A, Sanduleanu, Sebastian, Primakov, Sergey P, Beuque, Manon P L, Marcus, Damiënne, van der Wiel, Alexander M A, Zerka, Fadila, Oberije, Cary J G, van Timmeren, Janita E, Woodruff, Henry C, Lambin, Philippe

“…Historically, medical imaging has been a qualitative or semi-quantitative modality. It is difficult to quantify what can be seen in an image, and to turn it…”
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Automated detection and segmentation of non-small cell lung cancer computed tomography images by Primakov, Sergey P., Ibrahim, Abdalla, van Timmeren, Janita E., Wu, Guangyao, Keek, Simon A., Beuque, Manon, Granzier, Renée W. Y., Lavrova, Elizaveta, Scrivener, Madeleine, Sanduleanu, Sebastian, Kayan, Esma, Halilaj, Iva, Lenaers, Anouk, Wu, Jianlin, Monshouwer, René, Geets, Xavier, Gietema, Hester A., Hendriks, Lizza E. L., Morin, Olivier, Jochems, Arthur, Woodruff, Henry C., Lambin, Philippe

“…Detection and segmentation of abnormalities on medical images is highly important for patient management including diagnosis, radiotherapy, response…”
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Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods by Mali, Shruti Atul, Ibrahim, Abdalla, Woodruff, Henry C, Andrearczyk, Vincent, Müller, Henning, Primakov, Sergey, Salahuddin, Zohaib, Chatterjee, Avishek, Lambin, Philippe

“…Radiomics converts medical images into mineable data via a high-throughput extraction of quantitative features used for clinical decision support. However,…”
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The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset by Ibrahim, Abdalla, Refaee, Turkey, Leijenaar, Ralph T H, Primakov, Sergey, Hustinx, Roland, Mottaghy, Felix M, Woodruff, Henry C, Maidment, Andrew D A, Lambin, Philippe

“…Radiomics-the high throughput extraction of quantitative features from medical images and their correlation with clinical and biological endpoints- is the…”
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Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics by van Timmeren, Janna E, Carvalho, Sara, Leijenaar, Ralph T H, Troost, Esther G C, van Elmpt, Wouter, de Ruysscher, Dirk, Muratet, Jean-Pierre, Denis, Fabrice, Schimek-Jasch, Tanja, Nestle, Ursula, Jochems, Arthur, Woodruff, Henry C, Oberije, Cary, Lambin, Philippe

“…Prognostic models based on individual patient characteristics can improve treatment decisions and outcome in the future. In many (radiomic) studies, small size…”
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The Emerging Role of Radiomics in COPD and Lung Cancer by Refaee, Turkey, Wu, Guangyao, Ibrahim, Abdallah, Halilaj, Iva, Leijenaar, Ralph T H, Rogers, William, Gietema, Hester A, Hendriks, Lizza E L, Lambin, Philippe, Woodruff, Henry C

“…Medical imaging plays a key role in evaluating and monitoring lung diseases such as chronic obstructive pulmonary disease (COPD) and lung cancer. The…”
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The VAMPIRE challenge: A multi‐institutional validation study of CT ventilation imaging by Kipritidis, John, Tahir, Bilal A., Cazoulat, Guillaume, Hofman, Michael S., Siva, Shankar, Callahan, Jason, Hardcastle, Nicholas, Yamamoto, Tokihiro, Christensen, Gary E., Reinhardt, Joseph M., Kadoya, Noriyuki, Patton, Taylor J., Gerard, Sarah E., Duarte, Isabella, Archibald‐Heeren, Ben, Byrne, Mikel, Sims, Rick, Ramsay, Scott, Booth, Jeremy T., Eslick, Enid, Hegi‐Johnson, Fiona, Woodruff, Henry C., Ireland, Rob H., Wild, Jim M., Cai, Jing, Bayouth, John E., Brock, Kristy, Keall, Paul J.

“…Purpose CT ventilation imaging (CTVI) is being used to achieve functional avoidance lung cancer radiation therapy in three clinical trials (NCT02528942,…”
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Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in multicentric Medical Imaging (C-DistriM) by Zerka, Fadila, Urovi, Visara, Vaidyanathan, Akshayaa, Barakat, Samir, Leijenaar, Ralph T.H., Walsh, Sean, Gabrani-Juma, Hanif, Miraglio, Benjamin, Woodruff, Henry C., Dumontier, Michel, Lambin, Philippe

“…The utility of Artificial Intelligence (AI) in healthcare strongly depends upon the quality of the data used to build models, and the confidence in the…”
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Deep learning for the fully automated segmentation of the inner ear on MRI by Vaidyanathan, Akshayaa, van der Lubbe, Marly F. J. A., Leijenaar, Ralph T. H., van Hoof, Marc, Zerka, Fadila, Miraglio, Benjamin, Primakov, Sergey, Postma, Alida A., Bruintjes, Tjasse D., Bilderbeek, Monique A. L., Sebastiaan, Hammer, Dammeijer, Patrick F. M., van Rompaey, Vincent, Woodruff, Henry C., Vos, Wim, Walsh, Seán, van de Berg, Raymond, Lambin, Philippe

“…Segmentation of anatomical structures is valuable in a variety of tasks, including 3D visualization, surgical planning, and quantitative image analysis. Manual…”
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Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy by Keek, Simon, Sanduleanu, Sebastian, Wesseling, Frederik, de Roest, Reinout, van den Brekel, Michiel, van der Heijden, Martijn, Vens, Conchita, Giuseppina, Calareso, Licitra, Lisa, Scheckenbach, Kathrin, Vergeer, Marije, Leemans, C René, Brakenhoff, Ruud H, Nauta, Irene, Cavalieri, Stefano, Woodruff, Henry C, Poli, Tito, Leijenaar, Ralph, Hoebers, Frank, Lambin, Philippe

“…In this study, we investigate the role of radiomics for prediction of overall survival (OS), locoregional recurrence (LRR) and distant metastases (DM) in stage…”
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Exploratory Radiomic Analysis of Conventional vs. Quantitative Brain MRI: Toward Automatic Diagnosis of Early Multiple Sclerosis by Lavrova, Elizaveta, Lommers, Emilie, Woodruff, Henry C, Chatterjee, Avishek, Maquet, Pierre, Salmon, Eric, Lambin, Philippe, Phillips, Christophe

“…Conventional magnetic resonance imaging (cMRI) is poorly sensitive to pathological changes related to multiple sclerosis (MS) in normal-appearing white matter…”
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Perceptual super-resolution in multiple sclerosis MRI by Giraldo, Diana L., Khan, Hamza, Pineda, Gustavo, Liang, Zhihua, Lozano-Castillo, Alfonso, Van Wijmeersch, Bart, Woodruff, Henry C., Lambin, Philippe, Romero, Eduardo, Peeters, Liesbet M., Sijbers, Jan

“…Introduction Magnetic resonance imaging (MRI) is crucial for diagnosing and monitoring of multiple sclerosis (MS) as it is used to assess lesions in the brain…”
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A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring by Connor, Kate, Conroy, Emer, White, Kieron, Shiels, Liam P., Keek, Simon, Ibrahim, Abdalla, Gallagher, William M., Sweeney, Kieron J., Clerkin, James, O’Brien, David, Cryan, Jane B., O’Halloran, Philip J., Heffernan, Josephine, Brett, Francesca, Lambin, Philippe, Woodruff, Henry C., Byrne, Annette T.

“…Here, we establish a CT-radiomics based method for application in invasive, orthotopic rodent brain tumour models. Twenty four NOD/SCID mice were implanted…”
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First Experience With Real-Time EPID-Based Delivery Verification During IMRT and VMAT Sessions by Woodruff, Henry C., PhD, Fuangrod, Todsaporn, MS, Van Uytven, Eric, PhD, McCurdy, Boyd M.C., PhD, van Beek, Timothy, Bhatia, Shashank, PhD, Greer, Peter B., PhD

“…Purpose Gantry-mounted megavoltage electronic portal imaging devices (EPIDs) have become ubiquitous on linear accelerators. WatchDog is a novel application of…”
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Deep learning based identification of bone scintigraphies containing metastatic bone disease foci by Ibrahim, Abdalla, Vaidyanathan, Akshayaa, Primakov, Sergey, Belmans, Flore, Bottari, Fabio, Refaee, Turkey, Lovinfosse, Pierre, Jadoul, Alexandre, Derwael, Celine, Hertel, Fabian, Woodruff, Henry C, Zacho, Helle D, Walsh, Sean, Vos, Wim, Occhipinti, Mariaelena, Hanin, François-Xavier, Lambin, Philippe, Mottaghy, Felix M, Hustinx, Roland

“…Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy…”
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Transparency of deep neural networks for medical image analysis: A review of interpretability methods by Salahuddin, Zohaib, Woodruff, Henry C., Chatterjee, Avishek, Lambin, Philippe

“…Artificial Intelligence (AI) has emerged as a useful aid in numerous clinical applications for diagnosis and treatment decisions. Deep neural networks have…”
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Prognostic models for colorectal cancer recurrence using carcinoembryonic antigen measurements by Mohammadian Rad, Nastaran, Sosef, Odin, Seegers, Jord, Koolen, Laura J E R, Hoofwijk, Julie J W A, Woodruff, Henry C, Hoofwijk, Ton A G M, Sosef, Meindert, Lambin, Philippe

“…Colorectal cancer (CRC) is one of the most prevalent cancers worldwide. A considerable percentage of patients who undergo surgery with curative intent will…”
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Computational methods for metastasis detection in lymph nodes and characterization of the metastasis-free lymph node microarchitecture: A systematic-narrative hybrid review by Budginaite, Elzbieta, Magee, Derek R., Kloft, Maximilian, Woodruff, Henry C., Grabsch, Heike I.

“…Histological examination of tumor draining lymph nodes (LNs) plays a vital role in cancer staging and prognostication. However, as soon as a LN is classed as…”
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Cycle-Consistent Generative Adversarial Network: Effect on Radiation Dose Reduction and Image Quality Improvement in Ultralow-Dose CT for Evaluation of Pulmonary Tuberculosis by Yan, Chenggong, Lin, Jie, Li, Haixia, Xu, Jun, Zhang, Tianjing, Chen, Hao, Woodruff, Henry C, Wu, Guangyao, Zhang, Siqi, Xu, Yikai, Lambin, Philippe

“…To investigate the image quality of ultralow-dose CT (ULDCT) of the chest reconstructed using a cycle-consistent generative adversarial network…”
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