Comparison of Fractional Flow Reserve Based on Computational Fluid Dynamics Modeling Using Coronary Angiographic Vessel Morphology Versus Invasively Measured Fractional Flow Reserv... von Tröbs, Monique, MD, Achenbach, Stephan, MD, Röther, Jens, MD, Redel, Thomas, PhD, Scheuering, Michael, PhD, Winneberger, David, RT, Klingenbeck, Klaus, PhD, Itu, Lucian, PhD, Passerini, Tiziano, PhD, Kamen, Ali, PhD, Sharma, Puneet, PhD, Comaniciu, Dorin, PhD, Schlundt, Christian, MD

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An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction von Lou, Bin, Doken, Semihcan, Zhuang, Tingliang, Wingerter, Danielle, Gidwani, Mishka, Mistry, Nilesh, Ladic, Lance, Kamen, Ali, Abazeed, Mohamed E

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Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart von Kayvanpour, Elham, Mansi, Tommaso, Sedaghat-Hamedani, Farbod, Amr, Ali, Neumann, Dominik, Georgescu, Bogdan, Seegerer, Philipp, Kamen, Ali, Haas, Jan, Frese, Karen S, Irawati, Maria, Wirsz, Emil, King, Vanessa, Buss, Sebastian, Mereles, Derliz, Zitron, Edgar, Keller, Andreas, Katus, Hugo A, Comaniciu, Dorin, Meder, Benjamin

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Prediction uncertainty estimates elucidate the limitation of current NSCLC subtype classification in representing mutational heterogeneity von Puiu, Andrei, Gómez Tapia, Carlos, Weiss, Maximilian E. R., Singh, Vivek, Kamen, Ali, Siebert, Matthias

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Patient-Specific Biomechanical Model for the Prediction of Lung Motion From 4-D CT Images von Fuerst, Bernhard, Mansi, Tommaso, Carnis, Francois, Salzle, Martin, Jingdan Zhang, Declerck, Jerome, Boettger, Thomas, Bayouth, John, Navab, Nassir, Kamen, Ali

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Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals von 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

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Autonomous Detection and Classification of PI-RADS Lesions in an MRI Screening Population Incorporating Multicenter-Labeled Deep Learning and Biparametric Imaging: Proof of Concept von Winkel, David J., Wetterauer, Christian, Matthias, Marc Oliver, Lou, Bin, Shi, Bibo, Kamen, Ali, Comaniciu, Dorin, Seifert, Hans-Helge, Rentsch, Cyrill A., Boll, Daniel T.

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A deep learning approach for predicting severity of COVID-19 patients using a parsimonious set of laboratory markers von Singh, Vivek, Kamaleswaran, Rishikesan, Chalfin, Donald, Buño-Soto, Antonio, San Roman, Janika, Rojas-Kenney, Edith, Molinaro, Ross, von Sengbusch, Sabine, Hodjat, Parsa, Comaniciu, Dorin, Kamen, Ali

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Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique von Hu, Lei, Fu, Caixia, Song, Xinyang, Grimm, Robert, von Busch, Heinrich, Benkert, Thomas, Kamen, Ali, Lou, Bin, Huisman, Henkjan, Tong, Angela, Penzkofer, Tobias, Choi, Moon Hyung, Shabunin, Ivan, Winkel, David, Xing, Pengyi, Szolar, Dieter, Coakley, Fergus, Shea, Steven, Szurowska, Edyta, Guo, Jing-Yi, Li, Liang, Li, Yue-Hua, Zhao, Jun-Gong

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Concordance and generalization of an AI algorithm with real-world clinical data in the pre-omicron and omicron era von Yilmaz, Gulsen, Sezer, Sevilay, Bastug, Aliye, Singh, Vivek, Gopalan, Raj, Aydos, Omer, Ozturk, Busra Yuce, Gokcinar, Derya, Kamen, Ali, Gramz, Jamie, Bodur, Hurrem, Akbiyik, Filiz

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Prostate gland volume estimation: anteroposterior diameters measured on axial versus sagittal ultrasonography and magnetic resonance images von Youn, Seo Yeon, Choi, Moon Hyung, Lee, Young Joon, Grimm, Robert, von Busch, Heinrich, Han, Dongyeob, Son, Yohan, Lou, Bin, Kamen, Ali

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Near-Infrared Fluorescent Digital Pathology for the Automation of Disease Diagnosis and Biomarker Assessment von Gibbs, Summer L., Genega, Elizabeth, Salemi, Jeffery, Kianzad, Vida, Goodwill, Haley L., Xie, Yang, Oketokoun, Rafiou, Khurd, Parmeshwar, Kamen, Ali, Frangioni, John V.

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Multimodal image synthesis based on disentanglement representations of anatomical and modality specific features, learned using uncooperative relativistic GAN von Reaungamornrat, Sureerat, Sari, Hasan, Catana, Ciprian, Kamen, Ali

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Determination of time-varying pressure field from phase contrast MRI data von Itu, Lucian M, Sharma, Puneet, Gulsun, Mehmet A, Mihalef, Viorel, Kamen, Ali, Greiser, Andreas

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Comparison of a Deep Learning-Accelerated vs. Conventional T2-Weighted Sequence in Biparametric MRI of the Prostate von Tong, Angela, Bagga, Barun, Petrocelli, Robert, Smereka, Paul, Vij, Abhinav, Qian, Kun, Grimm, Robert, Kamen, Ali, Keerthivasan, Mahesh B, Nickel, Marcel Dominik, von Busch, Heinrich, Chandarana, Hersh

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A Wide-Area, Low-Latency, and Power-Efficient 6-DoF Pose Tracking System for Rigid Objects von Kim, Young-Ho, Kapoor, Ankur, Mansi, Tommaso, Kamen, Ali

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Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations von Qin, Chen, Shi, Bibo, Liao, Rui, Mansi, Tommaso, Rueckert, Daniel, Kamen, Ali

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Deterministic small‐scale undulations of image‐based risk predictions from the deep learning of lung tumors in motion von Teo, P. Troy, Bajaj, Amishi, Randall, James, Lou, Bin, Shah, Jainil, Gopalakrishnan, Mahesh, Kamen, Ali, Abazeed, Mohamed E.

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Detection and PI-RADS classification of focal lesions in prostate MRI: Performance comparison between a deep learning-based algorithm (DLA) and radiologists with various levels of... von Youn, Seo Yeon, Choi, Moon Hyung, Kim, Dong Hwan, Lee, Young Joon, Huisman, Henkjan, Johnson, Evan, Penzkofer, Tobias, Shabunin, Ivan, Winkel, David Jean, Xing, Pengyi, Szolar, Dieter, Grimm, Robert, von Busch, Heinrich, Son, Yohan, Lou, Bin, Kamen, Ali

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A concurrent, deep learning–based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists von Labus, Sandra, Altmann, Martin M., Huisman, Henkjan, Tong, Angela, Penzkofer, Tobias, Choi, Moon Hyung, Shabunin, Ivan, Winkel, David J., Xing, Pengyi, Szolar, Dieter H., Shea, Steven M., Grimm, Robert, von Busch, Heinrich, Kamen, Ali, Herold, Thomas, Baumann, Clemens

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