SUSAN—a new approach to low level image processing

A Combined Corner and Edge Detector

Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901 · see citing works

Advances in functional and structural MR image analysis and implementation as FSL

Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · see citing works

The multimodal brain tumor image segmentation benchmark (BRATS)

Menze, B. H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., et al. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2377694 · Cited by 6,781 · see citing works

Image registration methods: a survey

Zitová, B., & Flusser, J. (2003) · Image and Vision Computing · doi:10.1016/s0262-8856(03)00137-9 · Cited by 6,423 · see citing works

Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference.

SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250 · see citing works

Guided Image Filtering

He, K., Sun, J., & Tang, X. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.213 · Cited by 5,503 · see citing works

Machine Learning for High-Speed Corner Detection

Rosten, E., & Drummond, T. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_34 · Cited by 4,555 · see citing works

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J. S., Freymann, J. B., Farahani, K., & Davatzikos, C. (2017) · Scientific Data · doi:10.1038/sdata.2017.117 · Cited by 3,049 · see citing works

Pose estimation for augmented reality: a hands-on survey

Marchand, E., Uchiyama, H., & Spindler, F. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2513408 · Cited by 746 · see citing works

Computer vision techniques in construction: A critical review

Xu, S., Wang, J., Shou, W., Ngo, T., Sadick, A.-M., & Wang, X. (2021) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-020-09504-3 · Cited by 409 · see citing works

Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal

Zhang, B., & Allebach, J. P. (2008) · IEEE Transactions on Image Processing · doi:10.1109/tip.2008.919949 · Cited by 403 · see citing works

Frontoparietal cortical activity of methamphetamine‐dependent and comparison subjects performing a delay discounting task

Monterosso, J. R., Ainslie, G., Xu, J., Cordova, X., Domier, C. P., & London, E. D. (2007) · Human Brain Mapping · doi:10.1002/hbm.20281 · Cited by 335 · see citing works

Analysis of task-based functional MRI data preprocessed with fMRIPrep

Esteban, O., Ciric, R., Finc, K., Blair, R. W., Markiewicz, C. J., Moodie, C. A., Kent, J. D., Goncalves, M., DuPre, E., Gomez, D. E. P., et al. (2020) · Nature Protocols · doi:10.1038/s41596-020-0327-3 · Cited by 315 · see citing works

Acute social isolation evokes midbrain craving responses similar to hunger

Tomova, L., Wang, K. L., Thompson, T., Matthews, G. A., Takahashi, A., Tye, K. M., & Saxe, R. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00742-z · Cited by 283 · see citing works

Neuroimaging of inhibitory control areas in children with attention deficit hyperactivity disorder who were treatment naive or in long-term treatment

Pliszka, S. R., Glahn, D. C., Semrud-Clikeman, M., Franklin, C., Perez III, R., Xiong, J., & Liotti (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.6.1052 · Cited by 278 · see citing works

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

Davatzikos, C., Rathore, S., Bakas, S., Pati, S., Bergman, M., Kalarot, R., Sridharan, P., Gastounioti, A., Jahani, N., Cohen, E., et al. (2018) · Journal of Medical Imaging · doi:10.1117/1.jmi.5.1.011018 · Cited by 204 · see citing works

Virtual dissection and comparative connectivity of the superior longitudinal fasciculus in chimpanzees and humans

Hecht, E. E., Gutman, D. A., Bradley, B. A., Preuss, T. M., & Stout, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.039 · Cited by 175 · see citing works

Impact of image preprocessing methods on reproducibility of radiomic features in multimodal magnetic resonance imaging in glioblastoma

Moradmand, H., Aghamiri, S. M. R., & Ghaderi, R. (2020) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.12795 · Cited by 173 · see citing works

Role for Human Posterior Parietal Cortex in Visual Processing of Aversive Objects in Peripersonal Space

Lloyd, D., Morrison, I., & Roberts, N. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00614.2005 · Cited by 155 · see citing works

Segmentation-Aware Convolutional Networks Using Local Attention Masks

Harley, A. W., Derpanis, K. G., & Kokkinos, I. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.539 · Cited by 142 · see citing works

Fusion of range and color images for denoising and resolution enhancement with a non-local filter

Huhle, B., Schairer, T., Jenke, P., & Straßer, W. (2010) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2009.11.004 · Cited by 116 · see citing works

Mapping putative hubs in human, chimpanzee and rhesus macaque connectomes via diffusion tractography

Li, L., Hu, X., Preuss, T. M., Glasser, M. F., Damen, F. W., Qiu, Y., & Rilling, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.024 · Cited by 109 · see citing works

Subjective confidence reflects representation of Bayesian probability in cortex

Geurts, L. S., Cooke, J. R. H., van Bergen, R. S., & Jehee, J. F. M. (2022) · Nature Human Behaviour · doi:10.1038/s41562-021-01247-w · Cited by 104 · see citing works

Low dose intranasal oxytocin delivered with Breath Powered device dampens amygdala response to emotional stimuli: A peripheral effect-controlled within-subjects randomized dose-response fMRI trial

Quintana, D. S., Westlye, L. T., Alnæs, D., Rustan, Ø. G., Kaufmann, T., Smerud, K. T., Mahmoud, R. A., Djupesland, P. G., & Andreassen, O. A. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2016.04.010 · Cited by 102 · see citing works

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Pati, S., Singh, A., Rathore, S., Gastounioti, A., Bergman, M., Ngo, P., Ha, S. M., Bounias, D., Minock, J., Murphy, G., et al. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-46643-5_38 · Cited by 94 · see citing works

Common and dissociable regional cerebral blood flow differences associate with dimensions of psychopathology across categorical diagnoses

Kaczkurkin, A. N., Moore, T. M., Calkins, M. E., Ciric, R., Detre, J. A., Elliott, M. A., Foa, E. B., Garcia de la Garza, A., Roalf, D. R., Rosen, A., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.174 · Cited by 86 · see citing works

Effects of incentives, age, and behavior on brain activation during inhibitory control: a longitudinal fMRI study

Paulsen, D. J., Hallquist, M. N., Geier, C. F., & Luna, B. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.09.003 · Cited by 86 · see citing works

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

Rathore, S., Bakas, S., Pati, S., Akbari, H., Kalarot, R., Sridharan, P., Rozycki, M., Bergman, M., Tunc, B., Verma, R., et al. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-75238-9_12 · Cited by 57 · see citing works

Microscopic malaria parasitemia diagnosis and grading on benchmark datasets

Rehman, A., Abbas, N., Saba, T., Mehmood, Z., Mahmood, T., & Ahmed, K. T. (2018) · Microscopy Research and Technique · doi:10.1002/jemt.23071 · Cited by 57 · see citing works

The regulation of positive and negative emotions through instructed causal attributions in lifetime depression – A functional magnetic resonance imaging study

Loeffler, L. A. K., Radke, S., Habel, U., Ciric, R., Satterthwaite, T. D., Schneider, F., & Derntl, B. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.10.025 · Cited by 47 · see citing works

Corticostriatal Circuits Encode the Subjective Value of Perceived Control

Wang, K. S., & Delgado, M. R. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz045 · Cited by 42 · see citing works

The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse

Berwian, I. M., Wenzel, J. G., Kuehn, L., Schnuerer, I., Kasper, L., Veer, I. M., Seifritz, E., Stephan, K. E., Walter, H., & Huys, Q. J. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-79170-9 · Cited by 29 · see citing works

Contribution of oxytocin receptor polymorphisms to amygdala activation in schizophrenia spectrum disorders

Haram, M., Bettella, F., Brandt, C. L., Quintana, D. S., Nerhus, M., Bjella, T., Djurovic, S., Westlye, L. T., Andreassen, O. A., Melle, I., et al. (2016) · BJPsych Open · doi:10.1192/bjpo.bp.116.003376 · Cited by 13 · see citing works

Neural Correlates of Long-Term Memory Enhancement Following Retrieval Practice

Marin-Garcia, E., Mattfeld, A. T., & Gabrieli, J. D. E. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.584560 · Cited by 11 · see citing works