Subhashis Banerjee
Subhashis Banerjee
Senior AI Scientist, GE HealthCare
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Cited by
Cited by
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
A novel GBM saliency detection model using multi-channel MRI
S Banerjee, S Mitra, BU Shankar, Y Hayashi
PloS one 11 (1), e0146388, 2016
Single seed delineation of brain tumor using multi-thresholding
S Banerjee, S Mitra, BU Shankar
Information Sciences 330, 88-103, 2016
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
Automated 3D segmentation of brain tumor using visual saliency
S Banerjee, S Mitra, BU Shankar
Information Sciences 424, 337-353, 2018
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
QU-BraTS: MICCAI BraTS 2020 Challenge on QuantifyingUncertainty in Brain Tumor Segmentation-Analysis of Ranking Scores and Benchmarking Results
R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ...
Journal of Machine Learning for Biomedical Imaging 1, 2022
Iris segmentation using interactive deep learning
M Sardar, S Banerjee, S Mitra
IEEE Access 8, 219322-219330, 2020
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
Volumetric brain tumour detection from MRI using visual saliency
S Mitra, S Banerjee, Y Hayashi
PloS one 12 (11), e0187209, 2017
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
Novel Volumetric Sub-region Segmentation in Brain Tumors
S Banerjee, S Mitra
Frontiers in Computational Neuroscience 14, 3, 2020
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
GAN-based novel approach for data augmentation with improved disease classification
D Bhattacharya, S Banerjee, S Bhattacharya, B Uma Shankar, S Mitra
Advancement of Machine Intelligence in Interactive Medical Image Analysis …, 2020
Glioma Classification Using Deep Radiomics
S Banerjee, S Mitra, F Masulli, S Rovetta
SN Computer Science 1 (4), 1-14, 2020
Aodv based black-hole attack mitigation in manet
S Banerjee, M Sardar, K Majumder
Proceedings of the international conference on frontiers of intelligent …, 2014
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
On an optimization technique using binary decision diagram
D Sensarma, S Banerjee, K Basuli, S Naskar, SS Sarma
arXiv preprint arXiv:1203.2505, 2012
Topology-Aware Learning for Volumetric Cerebrovascular Segmentation
S Banerjee, D Toumpanakis, AK Dhara, J Wikström, R Strand
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022
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
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