- Jonas Lussi
, Simone Gervasoni
, Michelle Mattille, Roland Dreyfus, Quentin Boehler
, Michael Reinehr, Nicole Ochsenbein, Bradley J. Nelson
, Ueli Moehrlen:
Magnetically Guided Laser Surgery for the Treatment of Twin-to-Twin Transfusion Syndrome. Adv. Intell. Syst. 4(11) (2022) - William Bradley
, Jinhyeun Kim, Zachary A. Kilwein, Logan Blakely, Michael Eydenberg, Jordan Jalvin, Carl D. Laird, Fani Boukouvala
:
Perspectives on the integration between first-principles and data-driven modeling. Comput. Chem. Eng. 166: 107898 (2022) - David Chen
, Huzefa M. Bhopalwala
, Nakeya Dewaswala
, Shivaram Poigai Arunachalam
, Moein Enayati
, Nasibeh Zanjirani Farahani, Kalyan Pasupathy, Sravani Lokineni, J. Martijn Bos, Peter A. Noseworthy, Reza Arsanjani
, Bradley J. Erickson, Jeffrey B. Geske, Michael J. Ackerman, Philip A. Araoz, Adelaide M. Arruda-Olson:
Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J. Imaging 8(5): 149 (2022) - Enis Afgan, Anton Nekrutenko, Björn A. Grüning, Daniel J. Blankenberg, Jeremy Goecks, Michael C. Schatz, Alexander E. Ostrovsky, Alexandru Mahmoud, Andrew J. Lonie, Anna Syme, Anne Fouilloux, Anthony Bretaudeau, Anup Kumar, Arthur C. Eschenlauer, Assunta D. Desanto, Aysam Guerler, Beatriz Serrano-Solano, Bérénice Batut, Bradley W. Langhorst, Bridget Carr, Bryan A. Raubenolt, Cameron J. Hyde, Catherine J. Bromhead, Christopher B. Barnett, Coline Royaux, Cristóbal Gallardo, Daniel J. Fornika, Dannon Baker, Dave Bouvier, Dave Clements, David A. de Lima Morais, David Lopez Tabernero, Delphine Larivière, Engy Nasr, Federico Zambelli, Florian Heyl, Fotis E. Psomopoulos, Frederik Coppens, Gareth R. Price, Gianmauro Cuccuru, Gildas Le Corguillé, Gregory Von Kuster, Gulsum Gudukbay, Helena Rasche, Hans-Rudolf Hotz, Ignacio Eguinoa, Igor V. Makunin, Isuru Ranawaka, James Taylor, Jayadev Joshi, Jennifer Hillman-Jackson, John Chilton, Kaivan Kamali, Keith Suderman, Krzysztof Poterlowicz, Yvan Le Bras, Lucille Lopez-Delisle, Luke Sargent, Madeline E. Bassetti, Marco Antonio Tangaro, Marius van den Beek, Martin Cech, Matthias Bernt, Matthias Fahrner, Mehmet Tekman, Melanie Christine Föll, Michael R. Crusoe, Miguel Roncoroni, Natalie Kucher, Nate Coraor, Nicholas Stoler, Nick Rhodes, Nicola Soranzo, Niko Pinter, Nuwan Goonasekera, Pablo A. Moreno, Pavankumar Videm, Petera Melanie, Pietro Mandreoli, Pratik D. Jagtap, Qiang Gu, Ralf J. M. Weber, Ross Lazarus, Ruben H. P. Vorderman, Saskia D. Hiltemann, Sergey Golitsynskiy, Shilpa Garg, Simon A. Bray, Simon L. Gladman, Simone Leo, Subina P. Mehta, Timothy J. Griffin, Vahid Jalili, Yves Vandenbrouck, Victor Wen, Vijay K. Nagampalli, Wendi A. Bacon, Willem L. De Koning, Wolfgang Maier, Peter J. Briggs:
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update. Nucleic Acids Res. 50(W1): 345-351 (2022) - Hedok Lee, Burhan Ozturk
, Michael S. Stringer
, Sunil Koundal, Bradley J. MacIntosh, Douglas L. Rothman, Helene Benveniste:
Choroid plexus tissue perfusion and blood to CSF barrier function in rats measured with continuous arterial spin labeling. NeuroImage 261: 119512 (2022) - Manuel R. Mercier
, Anne Sophie Dubarry
, François Tadel
, Pietro Avanzini
, Nikolai Axmacher
, Dillan Cellier
, Maria Del Vecchio, Liberty S. Hamilton
, Dora Hermes
, Michael J. Kahana, Robert T. Knight, Anaïs Llorens
, Pierre Mégevand
, Lucia Melloni, Kai J. Miller, Vitória Piai
, Aina Puce, Nick F. Ramsey, Caspar M. Schwiedrzik
, Sydney E. Smith, Arjen Stolk
, Nicole C. Swann
, Mariska J. Vansteensel
, Bradley Voytek
, Liang Wang, Jean-Philippe Lachaux, Robert Oostenveld
:
Advances in human intracranial electroencephalography research, guidelines and good practices. NeuroImage 260: 119438 (2022) - Bradley J. Koskowich
, Michael J. Starek
, Scott A. King
:
VirtuaLot - A Case Study on Combining UAS Imagery and Terrestrial Video with Photogrammetry and Deep Learning to Track Vehicle Movement in Parking Lots. Remote. Sens. 14(21): 5451 (2022) - Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien
, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab:
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. ACM SIGSOFT Softw. Eng. Notes 47(4): 18-24 (2022) - Bradley Carlson, Michael Watkins, Mei Li, Brian Furner, Ellen Cohen, Samuel L. Volchenboum:
Increasing interoperability of the Pediatric Cancer Data Commons data model by mapping to common data models. AMIA 2022 - Rhiannon Bettivia, Yi-Yun Cheng, Michael R. Gryk, Bradley Wade Bishop, Alexandra Chassanoff, Jane Greenberg, Zack Lischer-Katz:
Storied Past, Bright Future: A Provenance Jam Session. ASIST 2022: 544-547 - Zhen Guo, Jung Ki Song, George Barbastathis, Michael E. Glinsky, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine:
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography. Machine Learning for Scientific Imaging 2022: 1-6 - Michael C. Trumbo, Aaron P. Jones, Bradley M. Robert, Derek M. Trumbo, Laura E. Matzen:
A Method of Developing Video Stimuli that Are Amenable to Neuroimaging Analysis: An EEG Pilot Study. HCI (9) 2022: 183-201 - Dingwen Li, Bing Xue, Christopher Ryan King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu:
Self-explaining Hierarchical Model for Intraoperative Time Series. ICDM 2022: 1041-1046 - Michael Mattmann, Quentin Boehler
, Xiangzhong Chen, Salvador Pané, Bradley J. Nelson:
Shape memory polymer variable stiffness magnetic catheters with hybrid stiffness control. IROS 2022: 9589-9595 - Bing Xue, York Jiao, Thomas George Kannampallil, Bradley A. Fritz, Christopher Ryan King, Joanna Abraham, Michael Avidan, Chenyang Lu:
Perioperative Predictions with Interpretable Latent Representation. KDD 2022: 4268-4278 - Mark P. Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu:
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. MLHC 2022: 741-759 - Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi, Dylan J. A. Brenneis, Leslie Acker, Adam S. R. Parker, Adam White, Joseph Modayil, Patrick M. Pilarski:
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making. CoRR abs/2201.03709 (2022) - Patrick M. Pilarski, Andrew Butcher, Elnaz Davoodi, Michael Bradley Johanson, Dylan J. A. Brenneis, Adam S. R. Parker, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White:
The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents. CoRR abs/2203.09498 (2022) - James B. Aimone
, Aaron J. Hill, William M. Severa, Craig M. Vineyard:
Spiking Neural Streaming Binary Arithmetic. CoRR abs/2203.12662 (2022) - Zhen Guo, Jung Ki Song, George Barbastathis, Michael E. Glinsky, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine:
Physics-assisted Generative Adversarial Network for X-Ray Tomography. CoRR abs/2204.03703 (2022) - Michael Bradley Johanson, Edward Hughes, Finbarr Timbers, Joel Z. Leibo:
Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning. CoRR abs/2205.06760 (2022) - Bradley T. Wolfe, Michael J. Falato, Xinhua Zhang, Nga T. T. Nguyen-Fotiadis, J. P. Sauppe, P. M. Kozlowski, P. A. Keiter, R. E. Reinovsky, S. A. Batha, Zhehui Wang:
Machine Learning for Detection of 3D Features using sparse X-ray data. CoRR abs/2206.02564 (2022) - Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira
, Thomas Vogel, Rebekka Wohlrab:
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. CoRR abs/2206.12492 (2022) - Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
Deep Learning to Jointly Schema Match, Impute, and Transform Databases. CoRR abs/2207.03536 (2022) - Mark P. Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang
, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu:
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. CoRR abs/2208.02670 (2022) - Dingwen Li, Bing Xue, Christopher Ryan King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu:
Self-explaining Hierarchical Model for Intraoperative Time Series. CoRR abs/2210.04417 (2022) - Michael N. Pun, Andrew Ivanov, Quinn Bellamy, Zachary Montague, Colin H. LaMont, Philip Bradley, Jakub Otwinowski, Armita Nourmohammad:
Learning the shape of protein micro-environments with a holographic convolutional neural network. CoRR abs/2211.02936 (2022) - Sandhya Tripathi, Bradley A. Fritz, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
Algorithmic Bias in Machine Learning Based Delirium Prediction. CoRR abs/2211.04442 (2022) - John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán
, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, DJ Strouse, Michael Bradley Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo:
Melting Pot 2.0. CoRR abs/2211.13746 (2022)