Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 379 | 2018 |
A novel GBM saliency detection model using multi-channel MRI S Banerjee, S Mitra, BU Shankar, Y Hayashi PloS one 11 (1), e0146388, 2016 | 36 | 2016 |
Single seed delineation of brain tumor using multi-thresholding S Banerjee, S Mitra, BU Shankar Information Sciences 330, 88-103, 2016 | 35 | 2016 |
Automated 3D segmentation of brain tumor using visual saliency S Banerjee, S Mitra, BU Shankar Information Sciences 424, 337-353, 2018 | 20 | 2018 |
Volumetric brain tumour detection from MRI using visual saliency S Mitra, S Banerjee, Y Hayashi PloS one 12 (11), e0187209, 2017 | 16 | 2017 |
Multi-planar spatial-ConvNet for segmentation and survival prediction in brain cancer S Banerjee, S Mitra, BU Shankar International MICCAI Brainlesion Workshop, 94-104, 2018 | 9 | 2018 |
Deep radiomics for brain tumor detection and classification from multi-sequence MRI S Banerjee, S Mitra, F Masulli, S Rovetta arXiv preprint arXiv:1903.09240, 2019 | 7 | 2019 |
Synergetic neuro-fuzzy feature selection and classification of brain tumors S Banerjee, S Mitra, BU Shankar 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 7 | 2017 |
Brain tumor detection and classification from multi-sequence MRI: study using convnets S Banerjee, S Mitra, F Masulli, S Rovetta International MICCAI Brainlesion Workshop, 170-179, 2018 | 6 | 2018 |
A CADe system for gliomas in brain MRI using convolutional neural networks S Banerjee, S Mitra, A Sharma, BU Shankar arXiv preprint arXiv:1806.07589, 2018 | 6 | 2018 |
ROI segmentation from brain MR images with a fast multilevel thresholding S Banerjee, S Mitra, BU Shankar Proceedings of International Conference on Computer Vision and Image …, 2017 | 4 | 2017 |
GAN-Based Novel Approach for Data Augmentation with Improved Disease Classification D Bhattacharya, S Banerjee, S Bhattacharya, BU Shankar, S Mitra Advancement of Machine Intelligence in Interactive Medical Image Analysis …, 2020 | 3 | 2020 |
Glioma Classification Using Deep Radiomics S Banerjee, S Mitra, F Masulli, S Rovetta SN Computer Science 1 (4), 1-14, 2020 | 1 | 2020 |
Fuzzy volumetric delineation of brain tumor and survival prediction S Bhadani, S Mitra, S Banerjee Soft Computing, 1-20, 2020 | 1 | 2020 |
Novel Volumetric Sub-region Segmentation in Brain Tumors S Banerjee, S Mitra Frontiers in Computational Neuroscience 14, 3, 2020 | 1 | 2020 |
Ensemble of CNNs for Segmentation of Glioma Sub-regions with Survival Prediction S Banerjee, HS Arora, S Mitra International MICCAI Brainlesion Workshop, 37-49, 2019 | 1 | 2019 |
Evolving Optimal Convolutional Neural Networks S Banerjee, S Mitra 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2677-2683, 2020 | | 2020 |
A Survey on Applications of Siamese Neural Networks in Computer Vision A Nandy, S Haldar, S Banerjee, S Mitra 2020 International Conference for Emerging Technology (INCET), 1-5, 2020 | | 2020 |
Brain Tumor Detection and Classification from Multi-Channel MRIs using Deep Learning and Transfer Learning S Banerjee, F Masulli, S Mitra https://cis.ieee.org/images/files/Documents/GSRG/2017 …, 2018 | | 2018 |