Shekhar S. Chandra

Orcid: 0000-0001-6544-900X

According to our database1, Shekhar S. Chandra authored at least 20 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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
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
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
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

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


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