End-to-end reproducible AI pipelines in radiology using the cloud von Bontempi, Dennis, Nuernberg, Leonard, Pai, Suraj, Krishnaswamy, Deepa, Thiriveedhi, Vamsi, Hosny, Ahmed, Mak, Raymond H., Farahani, Keyvan, Kikinis, Ron, Fedorov, Andrey, Aerts, Hugo J. W. L.

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A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences von Krishnaswamy, Deepa, Noga, Michelle, Becher, Harald, Boulanger, Pierre, Punithakumar, Kumaradevan

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A New Semi-automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences von Krishnaswamy, Deepa, Hareendranathan, Abhilash R., Suwatanaviroj, Tan, Boulanger, Pierre, Becher, Harald, Noga, Michelle, Punithakumar, Kumaradevan

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Enrichment of lung cancer computed tomography collections with AI-derived annotations von Krishnaswamy, Deepa, Bontempi, Dennis, Thiriveedhi, Vamsi Krishna, Punzo, Davide, Clunie, David, Bridge, Christopher P., Aerts, Hugo J. W. L., Kikinis, Ron, Fedorov, Andrey

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Benefit of stereoscopic volume rendering for the identification of pediatric pulmonary vein stenosis from CT angiography von Noga, Michelle, Luan, Jiali, Krishnaswamy, Deepa, Morgan, Brendan, Cockburn, Ross, Punithakumar, Kumaradevan

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Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19 von Erfanian Ebadi, Salehe, Krishnaswamy, Deepa, Bolouri, Seyed Ehsan Seyed, Zonoobi, Dornoosh, Greiner, Russell, Meuser-Herr, Nathaniel, Jaremko, Jacob L., Kapur, Jeevesh, Noga, Michelle, Punithakumar, Kumaradevan

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Predicting Imaging Outcomes in Acute Stroke Therapy—Comparison of Magnetic Resonance Imaging and Computed Tomography von Krishnaswamy, Deepa, Cannane, Seetharaman, Nedunchelian, Meena, Varadharajan, Shriram, Poyyamoli, Santhosh, Mehta, Pankaj, Cherian, Mathew

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A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound von Krishnaswamy, Deepa, Ebadi, Salehe, Seyed Bolouri, Seyed, Zonoobi, Dornoosh, Greiner, Russell, Meuser-Herr, Nathaniel, Jaremko, Jacob, Kapur, Jeevesh, Noga, Michelle, Punithakumar, Kumaradevan

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A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography von Krishnaswamy, Deepa, Hareendranathan, Abhilash R., Suwatanaviroj, Tan, Becher, Harald, Noga, Michelle, Punithakumar, Kumaradevan

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Cardiac MRI-Derived Myocardial Deformation Parameters Correlate with Pulmonary Valve Replacement Indications in Repaired Tetralogy of Fallot von Goot, Benjamin H., Tham, Edythe B., Krishnaswamy, Deepa, Punithakumar, Kumaradevan, Noga, Michelle

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Promoting the use of the PI-QUAL score for prostate MRI quality: results from the ESOR Nicholas Gourtsoyiannis teaching fellowship von Giganti, Francesco, Cole, Alexander P., Fennessy, Fiona M., Clinton, Timothy, Moreira, Pedro Lopes Da Frota, Bernardes, Mariana Costa, Westin, Carl-Fredrik, Krishnaswamy, Deepa, Fedorov, Andriy, Wollin, Daniel A., Langbein, Bjoern, Frego, Nicola, Labban, Muhieddine, Badaoui, Joy S., Chang, Steven L., Briggs, Logan G., Tokuda, Junichi, Ambrosi, Alessandro, Kirkham, Alex, Emberton, Mark, Kasivisvanathan, Veeru, Moore, Caroline M., Allen, Clare, Tempany, Clare M.

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National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence von Fedorov, Andrey, Longabaugh, William J R, Pot, David, Clunie, David A, Pieper, Steven D, Gibbs, David L, Bridge, Christopher, Herrmann, Markus D, Homeyer, André, Lewis, Rob, Aerts, Hugo J W L, Krishnaswamy, Deepa, Thiriveedhi, Vamsi Krishna, Ciausu, Cosmin, Schacherer, Daniela P, Bontempi, Dennis, Pihl, Todd, Wagner, Ulrike, Farahani, Keyvan, Kim, Erika, Kikinis, Ron

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Magnetoencephalography-based identification of functional connectivity network disruption following mild traumatic brain injury von Alhourani, Ahmad, Wozny, Thomas A, Krishnaswamy, Deepa, Pathak, Sudhir, Walls, Shawn A, Ghuman, Avniel S, Krieger, Donald N, Okonkwo, David O, Richardson, R Mark, Niranjan, Ajay

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Quantifying white matter structural integrity with high-definition fiber tracking in traumatic brain injury von Presson, Nora, Krishnaswamy, Deepa, Wagener, Lauren, Bird, William, Jarbo, Kevin, Pathak, Sudhir, Puccio, Ava M, Borasso, Allison, Benso, Steven, Okonkwo, David O, Schneider, Walter

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An exploratory analysis linking neuropsychological testing to quantification of tractography using High Definition Fiber Tracking (HDFT) in military TBI von Presson, Nora, Beers, Sue R., Morrow, Lisa, Wagener, Lauren M., Bird, William A., Van Eman, Gina, Krishnaswamy, Deepa, Penderville, Joshua, Borrasso, Allison J., Benso, Steven, Puccio, Ava, Fissell, Catherine, Okonkwo, David O., Schneider, Walter

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Rule-based outlier detection of AI-generated anatomy segmentations von Krishnaswamy, Deepa, Thiriveedhi, Vamsi Krishna, Ciausu, Cosmin, Clunie, David, Pieper, Steve, Kikinis, Ron, Fedorov, Andrey

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Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field von Sheikhjafari, Ameneh, Krishnaswamy, Deepa, Noga, Michelle, Ray, Nilanjan, Punithakumar, Kumaradevan

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Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels von Ciausu, Cosmin, Krishnaswamy, Deepa, Billot, Benjamin, Pieper, Steve, Kikinis, Ron, Fedorov, Andrey

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Reproducible Evaluation of Open-Source Tools for Prostate Segmentation on Public Datasets von Ciausu, Cosmin, Krishnaswamy, Deepa, Fedorov, Andrey

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Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations von Krishnaswamy, Deepa, Bontempi, Dennis, Thiriveedhi, Vamsi, Punzo, Davide, Clunie, David, Bridge, Christopher P, Aerts, Hugo JWL, Kikinis, Ron, Fedorov, Andrey

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