Shekhar Chandra

Orcid: 0000-0001-6544-900X

According to our database1, Shekhar Chandra authored at least 68 papers between 2006 and 2025.

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Bibliography

2025
SCGC : Self-supervised contrastive graph clustering.
Neurocomputing, 2025

2024
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative.
Medical Image Anal., 2024

Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI.
CoRR, 2024

GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping.
Comput. Electron. Agric., 2024

A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Single Image Compressed Sensing MRI Via a Self-Supervised Deep Denoising Approach.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Efficient block contrastive learning via parameter-free meta-node approximation.
Neurocomputing, December, 2023

Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data.
NeuroImage, August, 2023

Non-Separable Two-Dimensional Hadamard Transform via a Discrete Hadamard Slice Theorem.
IEEE Signal Process. Lett., 2023

Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT.
CoRR, 2023

Multi-scale MRI reconstruction via dilated ensemble networks.
CoRR, 2023

Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification.
CoRR, 2023

Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review.
CoRR, 2023

Evidence-aware multi-modal data fusion and its application to total knee replacement prediction.
CoRR, 2023

Explainable Semantic Medical Image Segmentation with Style.
CoRR, 2023

PhaseNet: Phase-Encode Denoising Network for Compressed Sensing MRI.
CoRR, 2023

Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative.
Proceedings of the Medical Imaging with Deep Learning, 2023

Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Medical Shape Pattern Analysis with MeshCNN.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Manipulating Medical Image Translation with Manifold Disentanglement.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
CAN3D: Fast 3D medical image segmentation via compact context aggregation.
Medical Image Anal., 2022

NBC-Softmax : Darkweb Author fingerprinting and migration tracking.
CoRR, 2022

Structure Guided Manifolds for Discovery of Disease Characteristics.
CoRR, 2022

Transformer Compressed Sensing via Global Image Tokens.
CoRR, 2022

Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Undersampled MRI Reconstruction with Side Information-Guided Normalisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Transformer Compressed Sensing Via Global Image Tokens.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform.
IEEE Signal Process. Lett., 2021

FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping.
CoRR, 2021

Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI.
CoRR, 2021

The detection of mild traumatic brain injury in paediatrics using artificial neural networks.
Comput. Biol. Medicine, 2021

Can3d: Fast 3d Knee Mri Segmentation Via Compact Context Aggregation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Slim-YOLO: A Simplified Object Detection Model for the Detection of Pigmented Iris Freckles as a Potential Biomarker for Cutaneous Melanoma.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI.
CoRR, 2020

Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis.
CoRR, 2020

Fully Automatic Computer-aided Mass Detection and Segmentation via Pseudo-color Mammograms and Mask R-CNN.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Fast High Dynamic Range MRI by Contrast Enhancement Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN.
CoRR, 2019

2018
Chaotic Sensing.
IEEE Trans. Image Process., 2018

A lightweight rapid application development framework for biomedical image analysis.
Comput. Methods Programs Biomed., 2018

2017
Multi-scale mass segmentation for mammograms via cascaded random forests.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Finite Radial Reconstruction for Magnetic Resonance Imaging: A Theoretical Study.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015
Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2015

2014
Robust Digital Image Reconstruction via the Discrete Fourier Slice Theorem.
IEEE Signal Process. Lett., 2014

Focused shape models for hip joint segmentation in 3D magnetic resonance images.
Medical Image Anal., 2014

Exact image representation via a number-theoretic Radon transform.
IET Comput. Vis., 2014

2013
Direct inversion of Mojette projections.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images.
IEEE Trans. Medical Imaging, 2012

Unilateral hip joint segmentation with shape priors learned from missing data.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Morphology-Based Interslice Interpolation on Manual Segmentations of Joint Bones and Muscles in MRI.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

2011
Recovering Missing Slices of the Discrete Fourier Transform using Ghosts
CoRR, 2011

Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011

Automatic Segmentation of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Growth of Discrete Projection Ghosts Created by Iteration.
Proceedings of the Discrete Geometry for Computer Imagery, 2011

2010
Fast Mojette Transform for Discrete Tomography
CoRR, 2010

Fast Digital Convolutions using Bit-Shifts
CoRR, 2010

On Constructing Minimal Ghosts.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

2009
A Fast Number Theoretic Finite Radon Transform.
Proceedings of the DICTA 2009, 2009

2008
A method for removing cyclic artefacts in discrete tomography using latin squares.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

An Exact, Non-iterative Mojette Inversion Technique Utilising Ghosts.
Proceedings of the Discrete Geometry for Computer Imagery, 2008

2006
Quantised Angular Momentum Vectors and Projection Angle Distributions for Discrete Radon Transformations.
Proceedings of the Discrete Geometry for Computer Imagery, 13th International Conference, 2006


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