| LOOP Descriptor: Local Optimal-Oriented Pattern T Chakraborti, B McCane, S Mills, U Pal IEEE Signal Processing Letters 25 (5), 635-639, 2018 | 105 | 2018 |
| A self-adaptive matched filter for retinal blood vessel detection T Chakraborti, DK Jha, AS Chowdhury, X Jiang Machine Vision and Applications 26, 55-68, 2015 | 103 | 2015 |
| A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns T Chakraborti, A Chatterjee Engineering Applications of Artificial Intelligence 33, 80-90, 2014 | 49 | 2014 |
| A deep learning-shape driven level set synergism for pulmonary nodule segmentation R Roy, T Chakraborti, AS Chowdhury Pattern Recognition Letters 123, 31-38, 2019 | 48 | 2019 |
| LOOP descriptor: Encoding repeated local patterns for fine-grained visual identification of lepidoptera T Chakraborti, B McCane, S Mills, U Pal arXiv preprint arXiv:1710.09317, 1-5, 2017 | 34 | 2017 |
| A novel local extrema based gravitational search algorithm and its application in face recognition using one training image per class T Chakraborti, KD Sharma, A Chatterjee Engineering Applications of Artificial Intelligence 34, 13-22, 2014 | 30 | 2014 |
| Automated emotion recognition employing a novel modified binary quantum‐behaved gravitational search algorithm with differential mutation T Chakraborti, A Chatterjee, A Halder, A Konar Expert Systems 32 (4), 522-530, 2015 | 23 | 2015 |
| Contrastive fairness in machine learning T Chakraborti, A Patra, JA Noble IEEE Letters of the Computer Society 3 (2), 38-41, 2020 | 16 | 2020 |
| A scale and rotation invariant scheme for multi-oriented character recognition N Tripathy, T Chakraborti, M Nasipuri, U Pal 2016 23rd International Conference on Pattern Recognition (ICPR), 4041-4046, 2016 | 16 | 2016 |
| Collaborative representation based fine-grained species recognition T Chakraborti, B McCane, S Mills, U Pal 2016 International Conference on Image and Vision Computing New Zealand …, 2016 | 16 | 2016 |
| Fine-grained multi-instance classification in microscopy through deep attention M Fan, T Chakraborti, I Eric, C Chang, Y Xu, J Rittscher 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 169-173, 2020 | 12 | 2020 |
| CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification T Chakraborti, B McCane, S Mills, U Pal 2020 35th International Conference on Image and Vision Computing New Zealand …, 2020 | 11* | 2020 |
| A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC). T Chakraborti, B McCane, S Mills, U Pal BMVC, 2017 | 10 | 2017 |
| Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images K Biswas, P Shivakumara, U Pal, T Chakraborti, T Lu, MNB Ayub Knowledge-Based Systems 241, 108024, 2022 | 9 | 2022 |
| Microscopic fine-grained instance classification through deep attention M Fan, T Chakraborti, EIC Chang, Y Xu, J Rittscher Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 7 | 2020 |
| Learning from data with structured missingness R Mitra, SF McGough, T Chakraborti, C Holmes, R Copping, ... Nature Machine Intelligence 5 (1), 13-23, 2023 | 5 | 2023 |
| Exploring the correlation between deep learned and clinical features in melanoma detection T Chowdhury, ARS Bajwa, T Chakraborti, J Rittscher, U Pal Medical Image Understanding and Analysis: 25th Annual Conference, MIUA 2021 …, 2021 | 5 | 2021 |
| A comparative study of explainer modules applied to automated skin lesion classification J Sun, T Chakraborti, JA Noble | 4 | 2020 |
| Learn more, forget less: Cues from human brain A Patra, T Chakraborti Proceedings of the Asian Conference on Computer Vision, 2020 | 3 | 2020 |
| Learning cellular phenotypes through supervision H Theissen, T Chakraborti, S Malacrino, K Sirinukunwattana, D Royston, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
Brendan McCaneUniversity of OtagoVerified email at cs.otago.ac.nz
