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Publication search results
found 96 matches
- 2024
- Erika Rasnick Manning, Qing Duan, Stuart Taylor, Sarah Ray, Alexandra M. S. Corley, Joseph Michael, Ryan Gillette, Ndidi Unaka, David Hartley, Andrew F. Beck, Cole Brokamp
, Chidiogo Anyigbo, Lori Crosby, Magdely Diaz de Leon, John Egbo, Ben Foley, Adrienne Henize, Margaret Jones, Nana-Hawa Yayah Jones, Robert Kahn, Landon Krantz, Lauren Lipps, Alexandra Power-Hayes, Charles Quinn, Elizabeth Quinonez, Carley Riley, Laura Sandoval, Lisa Shook, Jeffrey Steller:
Development of a multimodal geomarker pipeline to assess the impact of social, economic, and environmental factors on pediatric health outcomes. J. Am. Medical Informatics Assoc. 31(7): 1471-1478 (2024) - Sarah K. Savage, Jonathan Lotempio, Erica D. Smith
, E. Hallie Andrew, Gloria Mas, Amanda H. Kahn-Kirby, Emmanuèle Délot, Andrea J. Cohen, Georgia Pitsava, Robert Nussbaum, Vincent A. Fusaro, Seth Berger, Eric Vilain
:
Using a chat-based informed consent tool in large-scale genomic research. J. Am. Medical Informatics Assoc. 31(2): 472-478 (2024) - Christina Silcox, Eyal Zimlichman, Katie Huber
, Neil Rowen, Robert Saunders, Mark McClellan, Charles N. Kahn, Claudia A. Salzberg, David W. Bates
:
The potential for artificial intelligence to transform healthcare: perspectives from international health leaders. npj Digit. Medicine 7(1) (2024) - Andrew B. Kahng, Robert R. Nerem, Yusu Wang, Chien-Yi Yang:
NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem. AAAI 2024: 13022-13030 - 2023
- Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación
, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis
, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini
, Gary S. Collins
, Keyvan Farahani, Luciana Ferrer, Adrian Galdran
, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman
, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz
, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller
, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya Bathla Taneja, Jordan M. Wyrwa, Elena Casiraghi
, Nicolas A. Matentzoglu, Justin T. Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec
, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri
, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook E. Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr., Lawrence E. Hunter:
An Open-Source Knowledge Graph Ecosystem for the Life Sciences. CoRR abs/2307.05727 (2023) - Hannah Day, Yonatan Kahn, Daniel A. Roberts:
Feature Learning and Generalization in Deep Networks with Orthogonal Weights. CoRR abs/2310.07765 (2023) - Andrew B. Kahng, Robert R. Nerem, Yusu Wang, Chien-Yi Yang:
NN-Steiner: A Mixed Neural-algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem. CoRR abs/2312.10589 (2023) - 2021
- Mintaka Angell, Samantha Gold, Mark Howison, Victoria Kidd, Daniel Molitor, Casey Burns, Chris Johnson, Matthew Kahn, Stuart Venzke, Sandra Deneault, Donald Doweiko, Stephen Dziembowski, Bijay Kumar, Patrick O'Donnell, Chirag Patel, Andrew Reidl, Brian Tardiff, Justine S. Hastings, Scott Jensen, Angelika Pellegrino, Amelia Roberts, Rahul Sarathy:
Delivering Unemployment Assistance in Times of Crisis: Scalable Cloud Solutions Can Keep Essential Government Programs Running and Supporting Those in Need. Digit. Gov. Res. Pract. 2(1): 5:1-5:11 (2021) - Suneel Belkhale
, Rachel Li, Gregory Kahn
, Rowan McAllister
, Roberto Calandra
, Sergey Levine:
Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads. IEEE Robotics Autom. Lett. 6(2): 1471-1478 (2021) - Zijie J. Wang
, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
:
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. IEEE Trans. Vis. Comput. Graph. 27(2): 1396-1406 (2021) - Joshua Batson, C. Grace Haaf, Yonatan Kahn, Daniel A. Roberts:
Topological Obstructions to Autoencoding. CoRR abs/2102.08380 (2021) - 2020
- Zijie J. Wang
, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
:
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CHI Extended Abstracts 2020: 1-7 - Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CoRR abs/2001.02004 (2020) - Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine:
Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads. CoRR abs/2004.11345 (2020) - Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. CoRR abs/2004.15004 (2020) - 2019
- Fred Hohman
, Minsuk Kahng
, Robert S. Pienta, Duen Horng Chau
:
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. IEEE Trans. Vis. Comput. Graph. 25(8): 2674-2693 (2019) - 2018
- Patrice A. Lyons, Robert E. Kahn:
Blocks as digital entities: A standards perspective. Inf. Serv. Use 38(3): 173-185 (2018) - Brad W. Genereaux, Don K. Dennison, Kinson Ho, Robert Horn, Elliot Lewis Silver, Kevin O'Donnell, Charles E. Kahn Jr.
:
DICOMweb™: Background and Application of the Web Standard for Medical Imaging. J. Digit. Imaging 31(3): 321-326 (2018) - Karthik Choutagunta, Ian Roberts, Joseph M. Kahn:
Modeling and Tracking Dynamic Mode Coupling in MDM Systems. ECOC 2018: 1-3 - Robert Khasanov, Andrés Goens
, Jerónimo Castrillón:
Implicit Data-Parallelism in Kahn Process Networks: Bridging the MacQueen Gap. PARMA-DITAM@HiPEAC 2018: 20-25 - Jose Krause Perin, Ian Roberts, Joseph M. Kahn:
Improving the Capacity of Terrestrial and Submarine Systems via Channel Power Optimization. ICTON 2018: 1-4 - Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau:
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. CoRR abs/1801.06889 (2018) - 2017
- Mireille Nieuwenhuis
, Hugo G. Schnack, Neeltje E. M. van Haren, Julia M. Lappin
, Craig Morgan
, Antje A. Reinders, Diana Tordesillas-Gutierrez, Roberto Roiz-Santiañez, Maristela S. Schaufelberger, Pedro G. Rosa, Marcus V. Zanetti, Geraldo F. Busatto, Benedicto Crespo-Facorro
, Patrick D. McGorry
, Dennis Velakoulis, Christos Pantelis
, Stephen J. Wood
, René S. Kahn, Janaina Mourão Miranda, Paola Dazzan
:
Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients. NeuroImage 145: 246-253 (2017) - Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin
, Jilles Vreeken
, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
:
FACETS: Adaptive Local Exploration of Large Graphs. SDM 2017: 597-605 - 2016
- Robert S. Pienta, Leilei Xiong, Santiago Grijalva, Duen Horng (Polo) Chau
, Minsuk Kahng:
STEPS: A Spatio-temporal Electric Power Systems Visualization. IUI Companion 2016: 32-35 - 2015
- Adel Dayarian, Roberto Romero
, Zhiming Wang, Michael Biehl
, Erhan Bilal, Sahand Hormoz, Pablo Meyer, Raquel Norel
, Kahn Rhrissorrakrai, Gyan Bhanot, Feng Luo, Adi L. Tarca:
Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge. Bioinform. 31(4): 462-470 (2015) - Christoph Hafemeister
, Roberto Romero
, Erhan Bilal, Pablo Meyer, Raquel Norel
, Kahn Rhrissorrakrai, Richard Bonneau, Adi L. Tarca:
Inter-species pathway perturbation prediction via data-driven detection of functional homology. Bioinform. 31(4): 501-508 (2015) - Alex L. Mitchell
, Hsin-Yu Chang
, Louise C. Daugherty
, Matthew Fraser
, Sarah Hunter
, Rodrigo Lopez, Craig McAnulla, Conor McMenamin, Gift Nuka, Sebastien Pesseat
, Amaia Sangrador-Vegas
, Maxim Scheremetjew
, Claudia Rato
, Siew-Yit Yong
, Alex Bateman
, Marco Punta
, Teresa K. Attwood
, Christian J. A. Sigrist
, Nicole Redaschi
, Catherine Rivoire
, Ioannis Xenarios, Daniel Kahn, Dominique Guyot, Peer Bork
, Ivica Letunic
, Julian Gough, Matt E. Oates
, Daniel H. Haft, Hongzhan Huang, Darren A. Natale
, Cathy H. Wu
, Christine A. Orengo, Ian Sillitoe, Huaiyu Mi, Paul D. Thomas
, Robert D. Finn
:
The InterPro protein families database: the classification resource after 15 years. Nucleic Acids Res. 43(Database-Issue): 213-221 (2015) - Robert S. Pienta, James Abello, Minsuk Kahng, Duen Horng Chau
:
Scalable graph exploration and visualization: Sensemaking challenges and opportunities. BigComp 2015: 271-278
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