| The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset I Kandel, M Castelli ICT express 6 (4), 312-315, 2020 | 446 | 2020 |
| Transfer learning with convolutional neural networks for diabetic retinopathy image classification. A review I Kandel, M Castelli Applied Sciences 10 (6), 2021, 2020 | 165 | 2020 |
| Comparative study of first order optimizers for image classification using convolutional neural networks on histopathology images I Kandel, M Castelli, A Popovič Journal of imaging 6 (9), 92, 2020 | 78 | 2020 |
| How deeply to fine-tune a convolutional neural network: a case study using a histopathology dataset I Kandel, M Castelli Applied Sciences 10 (10), 3359, 2020 | 69 | 2020 |
| Brightness as an augmentation technique for image classification I Kandel, M Castelli, L Manzoni Emerging Science Journal 6 (4), 881-892, 2022 | 28 | 2022 |
| Musculoskeletal images classification for detection of fractures using transfer learning I Kandel, M Castelli, A Popovič Journal of imaging 6 (11), 127, 2020 | 26 | 2020 |
| Comparing stacking ensemble techniques to improve musculoskeletal fracture image classification I Kandel, M Castelli, A Popovič Journal of Imaging 7 (6), 100, 2021 | 21 | 2021 |
| The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset. ICT Express 6 (4): 312–315 I Kandel, M Castelli | 20 | 2020 |
| Improving convolutional neural networks performance for image classification using test time augmentation: a case study using MURA dataset I Kandel, M Castelli Health information science and systems 9 (1), 33, 2021 | 19 | 2021 |
| A novel architecture to classify histopathology images using convolutional neural networks I Kandel, M Castelli Applied Sciences 10 (8), 2929, 2020 | 17 | 2020 |
| The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset, ICT Express, 6, 312–315 I Kandel, M Castelli | 8 | 2020 |
| Deep Learning Techniques for Medical Image Classification IHA Kandel PQDT-Global, 2021 | 2 | 2021 |
| A comparative study of tree-based models for churn prediction: A case study in the telecommunication sector IHA Kandel PhD diss, 2019 | 2 | 2019 |
Mauro CastelliNOVA IMS, Universidade Nova de LisboaVerified email at novaims.unl.pt
