A machine-learning approach for computation of fractional flow reserve from coronary computed tomography
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Published in Journal of applied physiology (1985) (01.07.2016)
Published in Journal of applied physiology (1985) (01.07.2016)
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Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling
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Published in Radiology (01.07.2018)
Published in Radiology (01.07.2018)
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Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value
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Published in BMC medicine (04.03.2021)
Published in BMC medicine (04.03.2021)
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Rupture Risk of Small Unruptured Intracranial Aneurysms in Japanese Adults
Suzuki, Takashi, Takao, Hiroyuki, Rapaka, Saikiran, Fujimura, Soichiro, Ioan Nita, Cosmin, Uchiyama, Yuya, Ohno, Hiroshi, Otani, Katharina, Dahmani, Chihebeddine, Mihalef, Viorel, Sharma, Puneet, Mohamed, Ashraf, Redel, Thomas, Ishibashi, Toshihiro, Yamamoto, Makoto, Murayama, Yuichi
Published in Stroke (1970) (01.02.2020)
Published in Stroke (1970) (01.02.2020)
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Flow patterns in the sedimentation of an elliptical particle
XIA, ZHENHUA, CONNINGTON, KEVIN W., RAPAKA, SAIKIRAN, YUE, PENGTAO, FENG, JAMES J., CHEN, SHIYI
Published in Journal of fluid mechanics (25.04.2009)
Published in Journal of fluid mechanics (25.04.2009)
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Machine Learning and Coronary Artery Calcium Scoring
Lee, Heon, Martin, Simon, Burt, Jeremy R., Bagherzadeh, Pooyan Sahbaee, Rapaka, Saikiran, Gray, Hunter N., Leonard, Tyler J., Schwemmer, Chris, Schoepf, U. Joseph
Published in Current cardiology reports (09.07.2020)
Published in Current cardiology reports (09.07.2020)
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Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings
Weikert, Thomas, Rapaka, Saikiran, Grbic, Sasa, Re, Thomas, Chaganti, Shikha, Winkel, David J, Anastasopoulos, Constantin, Niemann, Tilo, Wiggli, Benedikt J, Bremerich, Jens, Twerenbold, Raphael, Sommer, Gregor, Comaniciu, Dorin, Sauter, Alexander W
Published in Korean journal of radiology (01.06.2021)
Published in Korean journal of radiology (01.06.2021)
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Non-modal growth of perturbations in density-driven convection in porous media
RAPAKA, SAIKIRAN, CHEN, SHIYI, PAWAR, RAJESH J., STAUFFER, PHILIP H., ZHANG, DONGXIAO
Published in Journal of fluid mechanics (25.08.2008)
Published in Journal of fluid mechanics (25.08.2008)
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Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals
Zettinig, Oliver, Mansi, Tommaso, Neumann, Dominik, Georgescu, Bogdan, Rapaka, Saikiran, Seegerer, Philipp, Kayvanpour, Elham, Sedaghat-Hamedani, Farbod, Amr, Ali, Haas, Jan, Steen, Henning, Katus, Hugo, Meder, Benjamin, Navab, Nassir, Kamen, Ali, Comaniciu, Dorin
Published in Medical image analysis (01.12.2014)
Published in Medical image analysis (01.12.2014)
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Artificial Intelligence Provides Accurate Quantification of Thoracic Aortic Enlargement and Dissection in Chest CT
Fink, Nicola, Yacoub, Basel, Schoepf, U Joseph, Zsarnoczay, Emese, Pinos, Daniel, Vecsey-Nagy, Milan, Rapaka, Saikiran, Sharma, Puneet, O'Doherty, Jim, Ricke, Jens, Varga-Szemes, Akos, Emrich, Tilman
Published in Diagnostics (Basel) (01.05.2024)
Published in Diagnostics (Basel) (01.05.2024)
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Personalized Pre- and Post-Operative Hemodynamic Assessment of Aortic Coarctation from 3D Rotational Angiography
Nita, Cosmin-Ioan, Puiu, Andrei, Bunescu, Daniel, Mihai Itu, Lucian, Mihalef, Viorel, Chintalapani, Gouthami, Armstrong, Aimee, Zampi, Jeffrey, Benson, Lee, Sharma, Puneet, Rapaka, Saikiran
Published in Cardiovascular engineering and technology (01.02.2022)
Published in Cardiovascular engineering and technology (01.02.2022)
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Normalizing Flows for Out-of-Distribution Detection: Application to Coronary Artery Segmentation
Ciușdel, Costin Florian, Itu, Lucian Mihai, Cimen, Serkan, Wels, Michael, Schwemmer, Chris, Fortner, Philipp, Seitz, Sebastian, Andre, Florian, Buß, Sebastian Johannes, Sharma, Puneet, Rapaka, Saikiran
Published in Applied sciences (01.04.2022)
Published in Applied sciences (01.04.2022)
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Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort
Pradella, Maurice, Achermann, Rita, Sperl, Jonathan I., Kärgel, Rainer, Rapaka, Saikiran, Cyriac, Joshy, Yang, Shan, Sommer, Gregor, Stieltjes, Bram, Bremerich, Jens, Brantner, Philipp, Sauter, Alexander W.
Published in Frontiers in cardiovascular medicine (22.08.2022)
Published in Frontiers in cardiovascular medicine (22.08.2022)
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Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings
Thomas Weikert, Saikiran Rapaka, Sasa Grbic, Thomas Re, Shikha Chaganti, David J. Winkel, Constantin Anastasopoulos, Tilo Niemann, Benedikt J. Wiggli, Jens Bremerich, Raphael Twerenbold, Gregor Sommer, Dorin Comaniciu, Alexander W. Sauter
Published in Korean journal of radiology (2021)
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Published in Korean journal of radiology (2021)
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Reply to: Letter to the editor regarding 'Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre data set'
Winkel, David J, Sharma, Puneet, Rapaka, Saikiran
Published in European heart journal cardiovascular imaging (19.12.2022)
Published in European heart journal cardiovascular imaging (19.12.2022)
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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium
Coenen, Adriaan, Kim, Young-Hak, Kruk, Mariusz, Tesche, Christian, De Geer, Jakob, Kurata, Akira, Lubbers, Marisa L, Daemen, Joost, Itu, Lucian, Rapaka, Saikiran, Sharma, Puneet, Schwemmer, Chris, Persson, Anders, Schoepf, U Joseph, Kepka, Cezary, Hyun Yang, Dong, Nieman, Koen
Published in Circulation. Cardiovascular imaging (01.06.2018)
Published in Circulation. Cardiovascular imaging (01.06.2018)
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Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT
Lo Piccolo, Francesca, Hinck, Daniel, Segeroth, Martin, Sperl, Jonathan, Cyriac, Joshy, Yang, Shan, Rapaka, Saikiran, Bremerich, Jens, Sauter, Alexander W., Pradella, Maurice
Published in European journal of radiology (01.11.2023)
Published in European journal of radiology (01.11.2023)
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Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
Condrea, Florin, Rapaka, Saikiran, Itu, Lucian, Sharma, Puneet, Sperl, Jonathan, Ali, A. Mohamed, Leordeanu, Marius
Published in Computers in biology and medicine (01.05.2024)
Published in Computers in biology and medicine (01.05.2024)
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Verification of a research prototype for hemodynamic analysis of cerebral aneurysms
Suzuki, Takashi, Ioan Nita, Cosmin, Rapaka, Saikiran, Takao, Hiroyuki, Mihalef, Viorel, Fujimura, Soichiro, Dahmani, Chihebeddine, Sharma, Puneet, Mamori, Hiroya, Ishibashi, Toshihiro, Redel, Thomas, Yamamoto, Makoto, Murayama, Yuichi
Published in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01.08.2016)
Published in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01.08.2016)
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Conference Proceeding
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Evaluation of a Deep Learning–Based Automated CT Coronary Artery Calcium Scoring Algorithm
Martin, Simon S., van Assen, Marly, Rapaka, Saikiran, Hudson, H. Todd, Fischer, Andreas M., Varga-Szemes, Akos, Sahbaee, Pooyan, Schwemmer, Chris, Gulsun, Mehmet A., Cimen, Serkan, Sharma, Puneet, Vogl, Thomas J., Schoepf, U. Joseph
Published in JACC. Cardiovascular imaging (01.02.2020)
Published in JACC. Cardiovascular imaging (01.02.2020)
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