Search Results - "Venkadesh, Kiran Vaidhya"

Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules by Venkadesh, Kiran Vaidhya, Aleef, Tajwar Abrar, Scholten, Ernst T, Saghir, Zaigham, Silva, Mario, Sverzellati, Nicola, Pastorino, Ugo, van Ginneken, Bram, Prokop, Mathias, Jacobs, Colin

“…Background Prior chest CT provides valuable temporal information (eg, changes in nodule size or appearance) to accurately estimate malignancy risk. Purpose To…”
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Unveiling Disease Progression in Chest Radiographs through AI by Alves, Natália, Venkadesh, Kiran Vaidhya

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Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT by Venkadesh, Kiran Vaidhya, Setio, Arnaud A A, Schreuder, Anton, Scholten, Ernst T, Chung, Kaman, W Wille, Mathilde M, Saghir, Zaigham, van Ginneken, Bram, Prokop, Mathias, Jacobs, Colin

“…Background Accurate estimation of the malignancy risk of pulmonary nodules at chest CT is crucial for optimizing management in lung cancer screening. Purpose…”
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Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence by Lessmann, Nikolas, Sánchez, Clara I, Beenen, Ludo, Boulogne, Luuk H, Brink, Monique, Calli, Erdi, Charbonnier, Jean-Paul, Dofferhoff, Ton, van Everdingen, Wouter M, Gerke, Paul K, Geurts, Bram, Gietema, Hester A, Groeneveld, Miriam, van Harten, Louis, Hendrix, Nils, Hendrix, Ward, Huisman, Henkjan J, Išgum, Ivana, Jacobs, Colin, Kluge, Ruben, Kok, Michel, Krdzalic, Jasenko, Lassen-Schmidt, Bianca, van Leeuwen, Kicky, Meakin, James, Overkamp, Mike, van Rees Vellinga, Tjalco, van Rikxoort, Eva M, Samperna, Riccardo, Schaefer-Prokop, Cornelia, Schalekamp, Steven, Scholten, Ernst Th, Sital, Cheryl, Stöger, J Lauran, Teuwen, Jonas, Venkadesh, Kiran Vaidhya, de Vente, Coen, Vermaat, Marieke, Xie, Weiyi, de Wilde, Bram, Prokop, Mathias, van Ginneken, Bram

“…Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the globe with alarming speed, morbidity, and mortality. Immediate triage of…”
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Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging by Ferreira, Carlos A., Venkadesh, Kiran Vaidhya, Jacobs, Colin, Coimbra, Miguel, Campilho, Aurélio

“…This study aims to forecast the progression of lung cancer by estimating the future diameter of lung nodules. This approach uses as input the tabular data,…”
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Automated Assessment of CO-RADS and Chest CT Severity Scores in Patients with Suspected COVID-19 Using Artificial Intelligence by Lessmann, Nikolas, Sánchez, Clara I., Beenen, Ludo, Boulogne, Luuk H., Brink, Monique, Calli, Erdi, Charbonnier, Jean-Paul, Dofferhoff, Ton, van Everdingen, Wouter M., Gerke, Paul K., Geurts, Bram, Gietema, Hester A., Groeneveld, Miriam, van Harten, Louis, Hendrix, Nils, Hendrix, Ward, Huisman, Henkjan J., Išgum, Ivana, Jacobs, Colin, Kluge, Ruben, Kok, Michel, Krdzalic, Jasenko, Lassen-Schmidt, Bianca, van Leeuwen, Kicky, Meakin, James, Overkamp, Mike, van Rees Vellinga, Tjalco, van Rikxoort, Eva M., Samperna, Riccardo, Schaefer-Prokop, Cornelia, Schalekamp, Steven, Scholten, Ernst Th, Sital, Cheryl, Stöger, Lauran, Teuwen, Jonas, Vaidhya Venkadesh, Kiran, de Vente, Coen, Vermaat, Marieke, Xie, Weiyi, de Wilde, Bram, Prokop, Mathias, van Ginneken, Bram

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Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison by Vente, Coen de, Boulogne, Luuk H., Venkadesh, Kiran Vaidhya, Sital, Cheryl, Lessmann, Nikolas, Jacobs, Colin, Sanchez, Clara I., Ginneken, Bram van

“…Amidst the ongoing pandemic, the assessment of computed tomography (CT) images for COVID-19 presence can exceed the workload capacity of radiologists. Several…”
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Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study by de Vente, Coen, Boulogne, Luuk H, Venkadesh, Kiran Vaidhya, Sital, Cheryl, Lessmann, Nikolas, Jacobs, Colin, Sánchez, Clara I, van Ginneken, Bram

“…Amidst the ongoing pandemic, several studies have shown that COVID-19 classification and grading using computed tomography (CT) images can be automated with…”
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