Search Results - "Primakov, Sergey"

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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Deep learning in fracture detection: a narrative review by Kalmet, Pishtiwan H S, Sanduleanu, Sebastian, Primakov, Sergey, Wu, Guangyao, Jochems, Arthur, Refaee, Turkey, Ibrahim, Abdalla, Hulst, Luca v., Lambin, Philippe, Poeze, Martijn

“…Artificial intelligence (AI) is a general term that implies the use of a computer to model intelligent behavior with minimal human intervention. AI,…”
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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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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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Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study by Chatterjee, Avishek, Wu, Guangyao, Primakov, Sergey, Oberije, Cary, Woodruff, Henry, Kubben, Pieter, Henry, Ronald, Aries, Marcel J H, Beudel, Martijn, Noordzij, Peter G, Dormans, Tom, Gritters van den Oever, Niels C, van den Bergh, Joop P, Wyers, Caroline E, Simsek, Suat, Douma, Renée, Reidinga, Auke C, de Kruif, Martijn D, Guiot, Julien, Frix, Anne-Noelle, Louis, Renaud, Moutschen, Michel, Lovinfosse, Pierre, Lambin, Philippe

“…To establish whether one can build a mortality prediction model for COVID-19 patients based solely on demographics and comorbidity data that outperforms age…”
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MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study by Granzier, Renée W. Y., Ibrahim, Abdalla, Primakov, Sergey P., Samiei, Sanaz, van Nijnatten, Thiemo J. A., de Boer, Maaike, Heuts, Esther M., Hulsmans, Frans-Jan, Chatterjee, Avishek, Lambin, Philippe, Lobbes, Marc B. I., Woodruff, Henry C., Smidt, Marjolein L.

“…This retrospective study investigated the value of pretreatment contrast-enhanced Magnetic Resonance Imaging (MRI)-based radiomics for the prediction of…”
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Prognostic and Predictive Value of Integrated Qualitative and Quantitative Magnetic Resonance Imaging Analysis in Glioblastoma by Verduin, Maikel, Primakov, Sergey, Compter, Inge, Woodruff, Henry C, van Kuijk, Sander M J, Ramaekers, Bram L T, te Dorsthorst, Maarten, Revenich, Elles G M, ter Laan, Mark, Pegge, Sjoert A H, Meijer, Frederick J A, Beckervordersandforth, Jan, Speel, Ernst Jan, Kusters, Benno, de Leng, Wendy W J, Anten, Monique M, Broen, Martijn P G, Ackermans, Linda, Schijns, Olaf E M G, Teernstra, Onno, Hovinga, Koos, Vooijs, Marc A, Tjan-Heijnen, Vivianne C G, Eekers, Danielle B P, Postma, Alida A, Lambin, Philippe, Hoeben, Ann

“…Glioblastoma (GBM) is the most malignant primary brain tumor for which no curative treatment options exist. Non-invasive qualitative (Visually Accessible…”
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Deep learning in fracture detection: a narrative review by Kalmet, Pishtiwan H S, Sanduleanu, Sebastian, Primakov, Sergey, Wu, Guangyao, Jochems, Arthur, Refaee, Turkey, Ibrahim, Abdalla, Hulst, Luca v., Lambin, Philippe, Poeze, Martijn

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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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Dedicated Axillary MRI-Based Radiomics Analysis for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer by Samiei, Sanaz, Granzier, Renée W Y, Ibrahim, Abdalla, Primakov, Sergey, Lobbes, Marc B I, Beets-Tan, Regina G H, van Nijnatten, Thiemo J A, Engelen, Sanne M E, Woodruff, Henry C, Smidt, Marjolein L

“…Radiomics features may contribute to increased diagnostic performance of MRI in the prediction of axillary lymph node metastasis. The objective of the study…”
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Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics by Keek, Simon A., Beuque, Manon, Primakov, Sergey, Woodruff, Henry C., Chatterjee, Avishek, van Timmeren, Janita E., Vallières, Martin, Hendriks, Lizza E. L., Kraft, Johannes, Andratschke, Nicolaus, Braunstein, Steve E., Morin, Olivier, Lambin, Philippe

“…Introduction There is a cumulative risk of 20–40% of developing brain metastases (BM) in solid cancers. Stereotactic radiotherapy (SRT) enables the application…”
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Open Source Repository and Online Calculator of Prediction Models for Diagnosis and Prognosis in Oncology by Halilaj, Iva, Oberije, Cary, Chatterjee, Avishek, van Wijk, Yvonka, Rad, Nastaran Mohammadian, Galganebanduge, Prabash, Lavrova, Elizaveta, Primakov, Sergey, Widaatalla, Yousif, Wind, Anke, Lambin, Philippe

“…(1) Background: The main aim was to develop a prototype application that would serve as an open-source repository for a curated subset of predictive and…”
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Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms by Beuque, Manon P L, Lobbes, Marc B I, van Wijk, Yvonka, Widaatalla, Yousif, Primakov, Sergey, Majer, Michael, Balleyguier, Corinne, Woodruff, Henry C, Lambin, Philippe

“…Background Handcrafted radiomics and deep learning (DL) models individually achieve good performance in lesion classification (benign vs malignant) on…”
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Beyond automatic medical image segmentation-the spectrum between fully manual and fully automatic delineation by Trimpl, Michael J, Primakov, Sergey, Lambin, Philippe, Stride, Eleanor P J, Vallis, Katherine A, Gooding, Mark J

“…Semi-automatic and fully automatic contouring tools have emerged as an alternative to fully manual segmentation to reduce time spent contouring and to increase…”
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Radiomics Analysis for Clinical Decision Support in Nuclear Medicine by Ibrahim, Abdalla, Vallières, Martin, Woodruff, Henry, Primakov, Sergey, Beheshti, Mohsen, Keek, Simon, Refaee, Turkey, Sanduleanu, Sebastian, Walsh, Sean, Morin, Olivier, Lambin, Philippe, Hustinx, Roland, Mottaghy, Felix M.

“…Radiomics – the high-throughput computation of quantitative image features extracted from medical imaging modalities- can be used to aid clinical decision…”
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The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features' Stability with and without ComBat Harmonization by Ibrahim, Abdalla, Refaee, Turkey, Primakov, Sergey, Barufaldi, Bruno, Acciavatti, Raymond J, Granzier, Renée W Y, Hustinx, Roland, Mottaghy, Felix M, Woodruff, Henry C, Wildberger, Joachim E, Lambin, Philippe, Maidment, Andrew D A

“…While handcrafted radiomic features (HRFs) have shown promise in the field of personalized medicine, many hurdles hinder its incorporation into clinical…”
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Segmentation Uncertainty Estimation as a Sanity Check for Image Biomarker Studies by Zhovannik, Ivan, Bontempi, Dennis, Romita, Alessio, Pfaehler, Elisabeth, Primakov, Sergey, Dekker, Andre, Bussink, Johan, Traverso, Alberto, Monshouwer, René

“…Problem. Image biomarker analysis, also known as radiomics, is a tool for tissue characterization and treatment prognosis that relies on routinely acquired…”
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Hypoxia PET Imaging with [18F]-HX4-A Promising Next-Generation Tracer by Sanduleanu, Sebastian, Wiel, Alexander M A van der, Lieverse, Relinde I Y, Marcus, Damiënne, Ibrahim, Abdalla, Primakov, Sergey, Wu, Guangyao, Theys, Jan, Yaromina, Ala, Dubois, Ludwig J, Lambin, Philippe

“…Hypoxia-a common feature of the majority of solid tumors-is a negative prognostic factor, as it is associated with invasion, metastasis and therapy resistance…”
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