| Year |
Citation |
Score |
| 2023 |
Niyaz U, Sambyal AS, Bathula DR. Leveraging different learning styles for improved knowledge distillation in biomedical imaging. Computers in Biology and Medicine. 168: 107764. PMID 38056210 DOI: 10.1016/j.compbiomed.2023.107764 |
0.718 |
|
| 2023 |
Sambyal AS, Niyaz U, Krishnan NC, Bathula DR. Understanding calibration of deep neural networks for medical image classification. Computer Methods and Programs in Biomedicine. 242: 107816. PMID 37778139 DOI: 10.1016/j.cmpb.2023.107816 |
0.727 |
|
| 2023 |
Gallo S, El-Gazzar A, Zhutovsky P, Thomas RM, Javaheripour N, Li M, Bartova L, Bathula D, Dannlowski U, Davey C, Frodl T, Gotlib I, Grimm S, Grotegerd D, Hahn T, et al. Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies. Molecular Psychiatry. PMID 36792654 DOI: 10.1038/s41380-023-01977-5 |
0.739 |
|
| 2021 |
Andersson S, Bathula DR, Iliadis SI, Walter M, Skalkidou A. Predicting women with depressive symptoms postpartum with machine learning methods. Scientific Reports. 11: 7877. PMID 33846362 DOI: 10.1038/s41598-021-86368-y |
0.701 |
|
| 2020 |
Sikka A, Jamalabadi H, Krylova M, Alizadeh S, van der Meer JN, Danyeli L, Deliano M, Vicheva P, Hahn T, Koenig T, Bathula DR, Walter M. Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks. Human Brain Mapping. PMID 32090423 DOI: 10.1002/Hbm.24949 |
0.732 |
|
| 2019 |
Orlando JI, Fu H, Barbossa Breda J, van Keer K, Bathula DR, Diaz-Pinto A, Fang R, Heng PA, Kim J, Lee J, Lee J, Li X, Liu P, Lu S, Murugesan B, et al. REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Analysis. 59: 101570. PMID 31630011 DOI: 10.1016/J.Media.2019.101570 |
0.733 |
|
| 2016 |
Thomas AJ, Bathula D. Reducing inter-scanner variability in multi-site fMRI activations using correction functions: A preliminary study Advances in Intelligent Systems and Computing. 390: 109-117. DOI: 10.1007/978-81-322-2625-3_10 |
0.71 |
|
| 2015 |
Bansal G, Gera P, Bathula DR. Template based classification of cardiac Arrhythmia in ECG data 2015 Ieee 2nd International Conference On Recent Trends in Information Systems, Retis 2015 - Proceedings. 337-341. DOI: 10.1109/ReTIS.2015.7232901 |
0.721 |
|
| 2015 |
Thomas AJ, Bathula D. Reducing inter-scanner variability in multi-site fMRI data: Exploring choice of reference activation map and use of correction functions International Conference On Computing, Communication and Automation, Iccca 2015. 1187-1192. DOI: 10.1109/CCAA.2015.7148556 |
0.731 |
|
| 2013 |
Costa Dias TG, Wilson VB, Bathula DR, Iyer SP, Mills KL, Thurlow BL, Stevens CA, Musser ED, Carpenter SD, Grayson DS, Mitchell SH, Nigg JT, Fair DA. Reward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder. European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology. 23: 33-45. PMID 23206930 DOI: 10.1016/J.Euroneuro.2012.10.015 |
0.761 |
|
| 2012 |
Fair DA, Nigg JT, Iyer S, Bathula D, Mills KL, Dosenbach NU, Schlaggar BL, Mennes M, Gutman D, Bangaru S, Buitelaar JK, Dickstein DP, Di Martino A, Kennedy DN, Kelly C, et al. Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data. Frontiers in Systems Neuroscience. 6: 80. PMID 23382713 DOI: 10.3389/Fnsys.2012.00080 |
0.77 |
|
| 2012 |
Fair DA, Bathula D, Nikolas MA, Nigg JT. Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD. Proceedings of the National Academy of Sciences of the United States of America. 109: 6769-74. PMID 22474392 DOI: 10.1073/Pnas.1115365109 |
0.757 |
|
| 2012 |
Mills KL, Bathula D, Dias TG, Iyer SP, Fenesy MC, Musser ED, Stevens CA, Thurlow BL, Carpenter SD, Nagel BJ, Nigg JT, Fair DA. Altered cortico-striatal-thalamic connectivity in relation to spatial working memory capacity in children with ADHD. Frontiers in Psychiatry. 3: 2. PMID 22291667 DOI: 10.3389/Fpsyt.2012.00002 |
0.761 |
|
| 2011 |
Nagel BJ, Bathula D, Herting M, Schmitt C, Kroenke CD, Fair D, Nigg JT. Altered white matter microstructure in children with attention-deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry. 50: 283-92. PMID 21334568 DOI: 10.1016/J.Jaac.2010.12.003 |
0.747 |
|
| 2010 |
Fair DA, Posner J, Nagel BJ, Bathula D, Dias TG, Mills KL, Blythe MS, Giwa A, Schmitt CF, Nigg JT. Atypical default network connectivity in youth with attention-deficit/hyperactivity disorder. Biological Psychiatry. 68: 1084-91. PMID 20728873 DOI: 10.1016/J.Biopsych.2010.07.003 |
0.758 |
|
| 2010 |
Fair DA, Bathula D, Mills KL, Dias TG, Blythe MS, Zhang D, Snyder AZ, Raichle ME, Stevens AA, Nigg JT, Nagel BJ. Maturing thalamocortical functional connectivity across development. Frontiers in Systems Neuroscience. 4: 10. PMID 20514143 DOI: 10.3389/Fnsys.2010.00010 |
0.736 |
|
| 2008 |
Bathula DR, Tagare HD, Staib LH, Papademetris X, Schultz RT, Duncan JS. Bayesian analysis of fMRI data with ICA based spatial prior. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 246-54. PMID 18982612 DOI: 10.1007/978-3-540-85990-1-30 |
0.749 |
|
| 2007 |
Bathula DR, Papademetris X, Duncan JS. LEVEL SET BASED CLUSTERING FOR ANALYSIS OF FUNCTIONAL MRI DATA. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 4: 416-419. PMID 20216927 DOI: 10.1109/ISBI.2007.356877 |
0.747 |
|
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