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Christopher Kanan, Ph.D. - Publications

Affiliations: 
2004-2006 Computer Science University of Southern California, Los Angeles, CA, United States 
 2007-2013 Computer Science and Engineering University of California, San Diego, La Jolla, CA 
 2013-2015 Jet Propulsion Laboratory California Institute of Technology, Pasadena, CA 
 2015-2022 Chester F. Carlson Center for Imaging Science Rochester Institute of Technology, Rochester, NY, United States 
 2022- Computer Science University of Rochester, Rochester, NY 
Area:
Deep Learning, Artificial Intelligence, Computer Vision, Cognitive Science
Website:
http://chriskanan.com

26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Raciti P, Sue J, Retamero JA, Ceballos R, Godrich R, Kunz JD, Casson A, Thiagarajan D, Ebrahimzadeh Z, Viret J, Lee D, Schüffler PJ, DeMuth G, Gulturk E, Kanan C, et al. Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection. Archives of Pathology & Laboratory Medicine. PMID 36538386 DOI: 10.5858/arpa.2022-0066-OA  0.555
2022 Mahmood U, Bates DDB, Erdi YE, Mannelli L, Corrias G, Kanan C. Deep Learning and Domain-Specific Knowledge to Segment the Liver from Synthetic Dual Energy CT Iodine Scans. Diagnostics (Basel, Switzerland). 12. PMID 35328225 DOI: 10.3390/diagnostics12030672  0.668
2021 Mahmood U, Shrestha R, Bates DDB, Mannelli L, Corrias G, Erdi YE, Kanan C. Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology Systems. Frontiers in Digital Health. 3: 671015. PMID 34713144 DOI: 10.3389/fdgth.2021.671015  0.728
2021 Hayes TL, Krishnan GP, Bazhenov M, Siegelmann HT, Sejnowski TJ, Kanan C. Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Computation. 1-44. PMID 34474476 DOI: 10.1162/neco_a_01433  0.611
2021 Mahmood U, Apte A, Kanan C, Bates DDB, Corrias G, Manneli L, Oh JH, Erdi YE, Nguyen J, O'Deasy J, Shukla-Dave A. Quality control of radiomic features using 3D-printed CT phantoms. Journal of Medical Imaging (Bellingham, Wash.). 8: 033505. PMID 34222557 DOI: 10.1117/1.JMI.8.3.033505  0.633
2021 da Silva LM, Pereira EM, Salles PG, Godrich R, Ceballos R, Kunz JD, Casson A, Viret J, Chandarlapaty S, Ferreira CG, Ferrari B, Rothrock B, Raciti P, Reuter V, Dogdas B, ... ... Kanan C, et al. Independent real-world application of a clinical-grade automated prostate cancer detection system. The Journal of Pathology. PMID 33904171 DOI: 10.1002/path.5662  0.533
2020 Roady R, Hayes TL, Kemker R, Gonzales A, Kanan C. Are open set classification methods effective on large-scale datasets? Plos One. 15: e0238302. PMID 32886692 DOI: 10.1371/Journal.Pone.0238302  0.612
2019 Kafle K, Shrestha R, Kanan C. Challenges and Prospects in Vision and Language Research. Frontiers in Artificial Intelligence. 2: 28. PMID 33733117 DOI: 10.3389/frai.2019.00028  0.711
2019 Parisi GI, Kemker R, Part JL, Kanan C, Wermter S. Continual lifelong learning with neural networks: A review. Neural Networks : the Official Journal of the International Neural Network Society. 113: 54-71. PMID 30780045 DOI: 10.1016/J.Neunet.2019.01.012  0.75
2019 Kafle K, Shrestha R, Kanan C. Challenges and Prospects in Vision and Language Research Frontiers in Artificial Intelligence. 2. DOI: 10.3389/frai.2019.00028  0.663
2019 Acharya M, Kafle K, Kanan C. TallyQA: Answering Complex Counting Questions Proceedings of the Aaai Conference On Artificial Intelligence. 33: 8076-8084. DOI: 10.1609/aaai.v33i01.33018076  0.701
2018 Kemker R, Salvaggio C, Kanan C. Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning Isprs Journal of Photogrammetry and Remote Sensing. 145: 60-77. DOI: 10.1016/J.Isprsjprs.2018.04.014  0.763
2017 Kleynhans T, Montanaro M, Gerace A, Kanan C. Estimating top-of-atmosphere thermal infrared radiance using MERRA-2 atmospheric data Proceedings of Spie. 10178. DOI: 10.1117/12.2262571  0.338
2017 Kemker R, Kanan C. Self-Taught Feature Learning for Hyperspectral Image Classification Ieee Transactions On Geoscience and Remote Sensing. 55: 2693-2705. DOI: 10.1109/Tgrs.2017.2651639  0.77
2017 Kafle K, Kanan C. Visual question answering: Datasets, algorithms, and future challenges Computer Vision and Image Understanding. 163: 3-20. DOI: 10.1016/J.Cviu.2017.06.005  0.72
2016 Kanan C, Kafle K. A Bayesian Model of Visual Question Answering Journal of Vision. 16: 332. DOI: 10.1167/16.12.332  0.665
2015 Kanan C, Bseiso DN, Ray NA, Hsiao JH, Cottrell GW. Humans have idiosyncratic and task-specific scanpaths for judging faces. Vision Research. 108: 67-76. PMID 25641371 DOI: 10.1016/J.Visres.2015.01.013  0.513
2014 Kanan C, Ray NA, Bseiso DNF, Hsiao JH, Cottrell GW. Predicting an observer's task using multi-fixation pattern analysis Eye Tracking Research and Applications Symposium (Etra). 287-290. DOI: 10.1145/2578153.2578208  0.396
2013 Kanan C. Recognizing sights, smells, and sounds with gnostic fields. Plos One. 8: e54088. PMID 23365648 DOI: 10.1371/Journal.Pone.0054088  0.377
2013 Kanan C. Active Object Recognition with a Space-Variant Retina Isrn Machine Vision. 2013: 1-10. DOI: 10.1155/2013/138057  0.36
2012 Kanan C, Cottrell GW. Color-to-grayscale: does the method matter in image recognition? Plos One. 7: e29740. PMID 22253768 DOI: 10.1371/Journal.Pone.0029740  0.548
2011 Kanan C, Cottrell G. Recognizing objects, faces, and flowers using fixations Journal of Vision. 11: 894-894. DOI: 10.1167/11.11.894  0.459
2010 Tong M, Kanan C, Zhang L, Cottrell G. Task-driven saliency using natural statistics (SUN) Journal of Vision. 9: 392-392. DOI: 10.1167/9.8.392  0.648
2010 Kanan C, Cottrell G. Robust classification of objects, faces, and flowers using natural image statistics Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2472-2479. DOI: 10.1109/CVPR.2010.5539947  0.455
2010 Kanan C, Flores A, Cottrell GW. Color constancy algorithms for object and face recognition Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6453: 199-210. DOI: 10.1007/978-3-642-17289-2_20  0.424
2009 Kanan C, Tong MH, Zhang L, Cottrell GW. SUN: Top-down saliency using natural statistics. Visual Cognition. 17: 979-1003. PMID 21052485 DOI: 10.1080/13506280902771138  0.629
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