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 |
0.663 |
|
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 |
0.729 |
|
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 |
0.627 |
|
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 |
0.611 |
|
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 |
0.749 |
|
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 |
0.762 |
|
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 |
0.647 |
|
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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