- Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring
S Banerjee, F Nysj, D Toumpanakis, AK Dhara, J Wikstrm, R Strand
Scientific Reports 14 (1), 9245 2024
- 3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation
S Kundu, S Banerjee, D Toumpanakis, J Wikstrom, R Strand, AK Dhara
International Conference on Pattern Recognition and Machine Intelligence 2023
- Deep Active Learning for Glioblastoma Quantification
S Banerjee, R Strand
Image Analysis: 23rd Scandinavian Conference, SCIA 2023, Sirkka, Finland 2023
- AI-based solution for improving neuroradiology workflow for cerebrovascular structure monitoring
S Banerjee, F Nysj, AK Dhara, J Wikstrm, R Strand
2023
- ASE-Net for Segmentation of Post-operative Glioblastoma and Patient-specific Fine-tuning for Segmentation Refinement of Follow-up MRI Scans
S Kundu, S Banerjee, E Breznik, D Toumpanakis, J Wikstrm, R Strand, ...
2023
- Deep Curriculum Learning for Follow-up MRI Registration in Glioblastoma
S Banerjee, D Toumpanakis, A Dhara, J Wikstrm, R Strand
SPIE Mecial imaging 2023 2023
- Lifelong Learning with Dynamic Convolutions for Glioma: Segmentation from Multi-Modal MRI
S Banerjee, R Strand
SPIE Medical Imaging 2023 2023
- Segmentation of Major Cerebral Vessel from MRA images and Evaluation using U-Net Family
SC Pal, S Banerjee, D Toumpanakis, J Wikstrm, R Strand, AK Dhara
2022 IEEE 6th International Conference on Condition Assessment Techniques in 2022
- Topology-Aware Learning for Volumetric Cerebrovascular Segmentation
S Banerjee, D Toumpanakis, AK Dhara, J Wikstrm, R Strand
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4 2022
- 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 Dtwyler, ...
Journal of Machine Learning for Biomedical Imaging 1 2022
- Deep learning for noninvasive management of brain tumors
S Banerjee, S Mitra
Augmenting Neurological Disorder Prediction and Rehabilitation Using 2022
- QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results
R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dtwyler, ...
arXiv preprint arXiv:2112.10074 2021
- Analysis of MRI Biomarkers for Brain Cancer Survival Prediction
S Banerjee, S Mitra, LO Hall
arXiv preprint arXiv:2109.02785 2021
- DeepSGP: Deep Learning for Gene Selection and Survival Group Prediction in Glioblastoma
R Kirtania, S Banerjee, S Laha, BU Shankar, R Chatterjee, S Mitra
Electronics 10 (12), 1463 2021
- Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net
S Banerjee, A Kumar Dhara, J Wikstrm, R Strand
25th International Conference on Pattern Recognition (ICPR 2020), Milano 2021
- Iris segmentation using interactive deep learning
M Sardar, S Banerjee, S Mitra
IEEE Access 8, 219322-219330 2020
- Evolving Optimal Convolutional Neural Networks
S Banerjee, S Mitra
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2677-2683 2020
- Glioma Classification Using Deep Radiomics
S Banerjee, S Mitra, F Masulli, S Rovetta
SN Computer Science 1 (4), 1-14 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
- Fuzzy volumetric delineation of brain tumor and survival prediction
S Bhadani, S Mitra, S Banerjee
Soft Computing, 1-20 2020