Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences von Fries, Jason A., Varma, Paroma, Chen, Vincent S., Xiao, Ke, Tejeda, Heliodoro, Saha, Priyanka, Dunnmon, Jared, Chubb, Henry, Maskatia, Shiraz, Fiterau, Madalina, Delp, Scott, Ashley, Euan, Ré, Christopher, Priest, James R.

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Dynamic clustering via branched deep learning enhances personalization of stress prediction from mobile sensor data von Luo, Yunfei, Deznabi, Iman, Shaw, Abhinav, Simsiri, Natcha, Rahman, Tauhidur, Fiterau, Madalina

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Potential corner case cautions regarding publicly available implementations of the National Cancer Institute's nonwear/wear classification algorithm for accelerometer data von Moore, 4th, Hyatt E, Haydel, K Farish, Banda, Jorge A, Fiterau, Madalina, Desai, Manisha, Robinson, Thomas N

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Computational estimates of annular diameter reveal genetic determinants of mitral valve function and disease von Yu, Mengyao, Tcheandjieu, Catherine, Georges, Adrien, Xiao, Ke, Tejeda, Helio, Dina, Christian, Le Tourneau, Thierry, Fiterau, Madalina, Judy, Renae, Tsao, Noah L, Amgalan, Dulguun, Munger, Chad J, Engreitz, Jesse M, Damrauer, Scott M, Bouatia-Naji, Nabila, Priest, James R

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Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities von Halilaj, Eni, Rajagopal, Apoorva, Fiterau, Madalina, Hicks, Jennifer L., Hastie, Trevor J., Delp, Scott L.

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Optimal fusion of genotype and drug embeddings in predicting cancer drug response von Nguyen, Trang, Campbell, Anthony, Kumar, Ankit, Amponsah, Edwin, Fiterau, Madalina, Shahriyari, Leili

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Impact of the COVID-19 Pandemic on the Academic Community Results from a survey conducted at University of Massachusetts Amherst von Deznabi, Iman, Motahar, Tamanna, Sarvghad, Ali, Fiterau, Madalina, Mahyar, Narges

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Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multisignal Vital Sign Monitoring Data von Chen, Lujie, Dubrawski, Artur, Wang, Donghan, Fiterau, Madalina, Guillame-Bert, Mathieu, Bose, Eliezer, Kaynar, Ata M., Wallace, David J., Guttendorf, Jane, Clermont, Gilles, Pinsky, Michael R., Hravnak, Marilyn

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Trends and Focus of Machine Learning Applications for Health Research von Beaulieu-Jones, Brett, Finlayson, Samuel G., Chivers, Corey, Chen, Irene, McDermott, Matthew, Kandola, Jaz, Dalca, Adrian V., Beam, Andrew, Fiterau, Madalina, Naumann, Tristan

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10: USING EXPERT REVIEW TO CALIBRATE SEMI-AUTOMATED ADJUDICATION OF VITAL SIGN ALERTS IN STEP-DOWN UNITS von Fiterau, Madalina, Wang, Donghan, Dubrawski, Artur, Clermont, Gilles, Hravnak, Marilyn, Pinsky, Michael

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51: ARCHETYPING ARTIFACTS IN MONITORED NONINVASIVE VITAL SIGNS DATA von Fiterau, Madalina, Dubrawski, Artur, Hravnak, Marilyn, Chen, Lujie, Pinsky, Michael, Clermont, Gilles, Bose, Eliezer

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797: INTERPRETABLE ACTIVE LEARNING IN SUPPORT OF CLINICAL DATA ANNOTATION von Wang, Donghan, Fiterau, Madalina, Dubrawski, Artur, Hravnak, Marilyn, Clermont, Gilles, Pinsky, Michael

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Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multi-signal Vital Sign Monitoring Data von Chen, Lujie, Dubrawski, Artur, Wang, Donghan, Fiterau, Madalina, Guillame-Bert, Mathieu, Bose, Eliezer, Kaynar, Ata M., Wallace, David J., Guttendorf, Jane, Clermont, Gilles, Pinsky, Michael R., Hravnak, Marilyn

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MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction von Deznabi, Iman, Fiterau, Madalina

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Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging von Xiao, Ke, Learned-Miller, Erik, Kalogerakis, Evangelos, Priest, James, Fiterau, Madalina

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285: REAL ALERTS AND ARTIFACT IN CONTINUOUS NONINVASIVE VITAL SIGN MONITORING von Hravnak, Marilyn, Chen, Lujie, Bose, Eliezer, Fiterau, Madalina, Guillame-Bert, Matthieu, Dubrawski, Artur, Clermont, Gilles, Pinsky, Michael

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Cardiac Imaging of Aortic Valve Area From 34 287 UK Biobank Participants Reveals Novel Genetic Associations and Shared Genetic Comorbidity With Multiple Disease Phenotypes von Córdova-Palomera, Aldo, Tcheandjieu, Catherine, Fries, Jason A., Varma, Paroma, Chen, Vincent S., Fiterau, Madalina, Xiao, Ke, Tejeda, Heliodoro, Keavney, Bernard D., Cordell, Heather J., Tanigawa, Yosuke, Venkataraman, Guhan, Rivas, Manuel A., Ré, Christopher, Ashley, Euan, Priest, James R.

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Zero-shot Microclimate Prediction with Deep Learning von Deznabi, Iman, Kumar, Peeyush, Fiterau, Madalina

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Real-time adaptive monitoring of vital signs for clinical alarm preemption von Fiterau, Madalina, Dubrawski, Artur, Ye, Can

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Progressive Fusion for Multimodal Integration von Shankar, Shiv, Thompson, Laure, Fiterau, Madalina

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