Soumick Chatterjee
- Papers
- 17
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Authored papers
17SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
arXiv 2024
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
arXiv 2023
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN
arXiv 2023
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
arXiv 2023
Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification
arXiv 2022
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images
arXiv 2022
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging
arXiv 2022
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder
arXiv 2022
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI
arXiv 2022
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent
arXiv 2022
Classification of Brain Tumours in MR Images using Deep Spatiospatial Models
arXiv 2021
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models
arXiv 2021
ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data
arXiv 2021
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
arXiv 2021
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction
arXiv 2021
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation
arXiv 2020
DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data
arXiv 2020
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