| Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl JC Caicedo, A Goodman, KW Karhohs, BA Cimini, J Ackerman, ... Nature methods 16 (12), 1247-1253, 2019 | 370 | 2019 |
| Moving towards a real-time system for automatically recognizing stereotypical motor movements in individuals on the autism spectrum using wireless accelerometry MS Goodwin, M Haghighi, Q Tang, M Akcakaya, D Erdogmus, S Intille Proceedings of the 2014 ACM international joint conference on pervasive and …, 2014 | 56 | 2014 |
| Automatic renal segmentation in DCE-MRI using convolutional neural networks M Haghighi, SK Warfield, S Kurugol 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 43 | 2018 |
| EEG-assisted modulation of sound sources in the auditory scene Haghighi, M Marzieh, A Mohammad, E Murat, Deniz Biomedical Signal Processing and Control 39 39, 263-270, 2018 | 19 | 2018 |
| EEG-assisted modulation of sound sources in the auditory scene M Haghighi, M Moghadamfalahi, M Akcakaya, D Erdogmus Biomedical signal processing and control 39, 263-270, 2018 | 19 | 2018 |
| Morphology and gene expression profiling provide complementary information for mapping cell state GP Way, T Natoli, A Adeboye, L Litichevskiy, A Yang, X Lu, JC Caicedo, ... Cell systems 13 (11), 911-923. e9, 2022 | 15 | 2022 |
| High-dimensional gene expression and morphology profiles of cells across 28,000 genetic and chemical perturbations M Haghighi, JC Caicedo, BA Cimini, AE Carpenter, S Singh Nature Methods, 1-8, 2022 | 14 | 2022 |
| A graphical model for online auditory scene modulation using EEG evidence for attention M Haghighi, M Moghadamfalahi, M Akcakaya, BG Shinn-Cunningham, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (11 …, 2017 | 6 | 2017 |
| Toward a brain interface for tracking attended auditory sources M Haghighi, M Moghadamfalahi, H Nezamfar, M Akcakaya, D Erdogmus 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 5 | 2016 |
| Active learning for efficient querying from a human oracle with noisy response in a language-model assisted brain computer interface M Moghadamfalahi, J Sourati, M Akcakaya, H Nezamfar, M Haghighi, ... 2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015 | 4 | 2015 |
| Context-aware recursive bayesian graph traversal in BCIs SSM Salehi, M Moghadamfalahi, H Nezamfar, M Haghighi, D Erdogmus 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 1 | 2017 |
| Initial assessment of artifact filtering for RSVP Keyboard™ M Haghighi, M Akcakaya, U Orhan, D Erdogmus, B Oken, M Fried-Oken 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-5, 2013 | 1 | 2013 |
| Interpreting Image‐based Profiles using Similarity Clustering and Single‐Cell Visualization F Garcia‐Fossa, MC Cruz, M Haghighi, MB de Jesus, S Singh, ... Current Protocols 3 (3), e713, 2023 | | 2023 |
| High-dimensional phenotyping to define the genetic basis of cellular morphology M Tegtmeyer, J Arora, S Asgari, BA Cimini, E Peirent, D Liyanage, ... bioRxiv, 2023.01. 09.522731, 2023 | | 2023 |
| Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl (vol 56, pg 1087, 2019) JC Caicedo, A Goodman, KW Karhohs, BA Cimini, J Ackerman, ... NATURE METHODS 17 (2), 241-241, 2020 | | 2020 |
| Context-Aware Recursive Bayesian Graph Traversal in BCIs S Sadegh Mohseni Salehi, M Moghadamfalahi, H Nezamfar, M Haghighi, ... arXiv e-prints, arXiv: 1703.02938, 2017 | | 2017 |
