Shekhar S. Chandra

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 58

Top Topics

Convolutional Neural Network

Magnetic Resonance Images

Traumatic Brain Injury

Biomedical Image Analysis

Top Venues

IEEE Signal Process. Lett.

Publications

Chrisbin James, Daniel Smith, Weigao He, Shekhar S. Chandra, Scott C. Chapman
GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping. Comput. Electron. Agric. 217 (2024)
Boyeong Woo, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative. Medical Image Anal. 93 (2024)
Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh
Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI. CoRR (2024)
Siyu Liu, Linfeng Liu, Craig Engstrom, Xuan Vinh To, Zongyuan Ge, Stuart Crozier, Fatima A. Nasrallah, Shekhar S. Chandra
Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery. MICCAI (5) (2023)
Sze-Nung Leung, Jason A. Dowling, Jurgen Fripp, Kai-Kai Shen, Shekhar S. Chandra
Medical Shape Pattern Analysis with MeshCNN. ISBI (2023)
Wei Dai, Siyu Liu, Craig B. Engstrom, Shekhar S. Chandra
Explainable Semantic Medical Image Segmentation with Style. CoRR (2023)
Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. CoRR (2023)
Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra
Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification. CoRR (2023)
Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. CoRR (2023)
Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. CVPR (2023)
Xinwen Liu, Jing Wang, S. Kevin Zhou, Craig Engstrom, Shekhar S. Chandra
Evidence-aware multi-modal data fusion and its application to total knee replacement prediction. CoRR (2023)
Boyeong Woo, Marlon Bran Lorenzana, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative. MIDL (2023)
Marlon Bran Lorenzana, Shekhar S. Chandra
Non-Separable Two-Dimensional Hadamard Transform via a Discrete Hadamard Slice Theorem. IEEE Signal Process. Lett. 30 (2023)
Fatima Al Zegair, Chantal Rutjes, Brigid Betz-Stablein, Zongyuan Ge, H. Peter Soyer, Shekhar S. Chandra
Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network. DICTA (2023)
Wendi Ma, Marlon Bran Lorenzana, Wei Dai, Hongfu Sun, Shekhar S. Chandra
Multi-scale MRI reconstruction via dilated ensemble networks. CoRR (2023)
Fatima Al Zegair, D. Nathasha U. Naranpanawa, Brigid Betz-Stablein, Monika Janda, H. Peter Soyer, Shekhar S. Chandra
Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review. CoRR (2023)
Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing 561 (2023)
Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. ISBI (2023)
Siyu Liu, Jason A. Dowling, Craig Engstrom, Peter B. Greer, Stuart Crozier, Shekhar S. Chandra
Manipulating Medical Image Translation with Manifold Disentanglement. DICTA (2023)
Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT. CoRR (2023)
Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra
Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. AI (1) (2023)
Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. CoRR (2023)
Marlon E. Bran Lorenzana, Shekhar S. Chandra, Feng Liu
PhaseNet: Phase-Encode Denoising Network for Compressed Sensing MRI. CoRR (2023)
Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra
Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach. CoRR (2023)
Linfeng Liu, Siyu Liu, Lu Zhang, Xuan Vinh To, Fatima A. Nasrallah, Shekhar S. Chandra
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data. NeuroImage 277 (2023)
Boyeong Woo, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative. CoRR (2022)
Marlon Bran Lorenzana, Craig Engstrom, Feng Liu, Shekhar S. Chandra
Transformer Compressed Sensing via Global Image Tokens. CoRR (2022)
Linfeng Liu, Siyu Liu, Lu Zhang, Xuan Vinh To, Fatima Nasrallah, Shekhar S. Chandra
Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data. CoRR (2022)
Zhen Yu, Toan D. Nguyen, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge
Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings. MICCAI (3) (2022)
Gayan K. Kulatilleke, Shekhar S. Chandra, Marius Portmann
NBC-Softmax : Darkweb Author fingerprinting and migration tracking. CoRR (2022)
Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou
Undersampled MRI Reconstruction with Side Information-Guided Normalisation. MICCAI (6) (2022)
Boyeong Woo, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images. MIDL (2022)
Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
SCGC : Self-Supervised Contrastive Graph Clustering. CoRR (2022)
Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou
Undersampled MRI Reconstruction with Side Information-Guided Normalisation. CoRR (2022)
Zhen Yu, Toan D. Nguyen, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge
Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings. CoRR (2022)
Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra
CAN3D: Fast 3D medical image segmentation via compact context aggregation. Medical Image Anal. 82 (2022)
Gayan K. Kulatilleke, Marius Portmann, Ryan Ko, Shekhar S. Chandra
FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. AI (2022)
Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
Efficient block contrastive learning via parameter-free meta-node approximation. CoRR (2022)
Marlon Bran Lorenzana, Craig Engstrom, Shekhar S. Chandra
Transformer Compressed Sensing Via Global Image Tokens. ICIP (2022)
Xinwen Liu, Jing Wang, Fangfang Tang, Shekhar S. Chandra, Feng Liu, Stuart Crozier
Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI. CoRR (2021)
Gayan K. Kulatilleke, Marius Portmann, Ryan Ko, Shekhar S. Chandra
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping. CoRR (2021)
Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig B. Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation. CoRR (2021)
D. Nathasha U. Naranpanawa, Yanyang Gu, Shekhar S. Chandra, Brigid Betz-Stablein, Richard A. Sturm, H. Peter Soyer, Anders P. Eriksson
Slim-YOLO: A Simplified Object Detection Model for the Detection of Pigmented Iris Freckles as a Potential Biomarker for Cutaneous Melanoma. DICTA (2021)
Hanem Ellethy, Shekhar S. Chandra, Fatima A. Nasrallah
The detection of mild traumatic brain injury in paediatrics using artificial neural networks. Comput. Biol. Medicine 135 (2021)
Jacob M. White, Stuart Crozier, Shekhar S. Chandra
Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform. IEEE Signal Process. Lett. 28 (2021)
Jacob M. White, Stuart Crozier, Shekhar S. Chandra
Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform. CoRR (2021)
Matthew Marques, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
Fast High Dynamic Range MRI by Contrast Enhancement Networks. ISBI (2020)
Siyu Liu, Wei Dai, Craig Engstrom, Jurgen Fripp, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra
Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis. CoRR (2020)
Siyu Liu, Jason A. Dowling, Craig Engstrom, Peter B. Greer, Stuart Crozier, Shekhar S. Chandra
Manipulating Medical Image Translation with Manifold Disentanglement. CoRR (2020)
Hang Min, Devin Wilson, Yinhuang Huang, Siyu Liu, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra
Fully Automatic Computer-aided Mass Detection and Segmentation via Pseudo-color Mammograms and Mask R-CNN. ISBI (2020)
Hang Min, Darryl McClymont, Shekhar S. Chandra, Stuart Crozier, Andrew P. Bradley
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI. CoRR (2020)
Hang Min, Devin Wilson, Yinhuang Huang, Samuel Kelly, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN. CoRR (2019)
Shekhar S. Chandra, Gary Ruben, Jin Jin, Mingyan Li, Andrew Kingston, Imants D. Svalbe, Stuart Crozier
Chaotic Sensing. IEEE Trans. Image Process. 27 (12) (2018)
Shekhar S. Chandra, Jason A. Dowling, Craig Engstrom, Ying Xia, Anthony Paproki, Ales Neubert, David Rivest-Hénault, Olivier Salvado, Stuart Crozier, Jurgen Fripp
A lightweight rapid application development framework for biomedical image analysis. Comput. Methods Programs Biomed. 164 (2018)
Hang Min, Shekhar S. Chandra, Neeraj Dhungel, Stuart Crozier, Andrew P. Bradley
Multi-scale mass segmentation for mammograms via cascaded random forests. ISBI (2017)
Shekhar S. Chandra, Ramitha Archchige, Gary Ruben, Jin Jin, Mingyan Li, Andrew Kingston, Imants D. Svalbe, Stuart Crozier
Finite Radial Reconstruction for Magnetic Resonance Imaging: A Theoretical Study. DICTA (2016)
Ales Neubert, Ibrahim Naser, Anthony Paproki, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative. ISBI (2016)
Ales Neubert, Jurgen Fripp, Shekhar S. Chandra, Craig Engstrom, Stuart Crozier
Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models. CSI@MICCAI (2015)
Shekhar S. Chandra, Nicolas Normand, Andrew Kingston, Jeanpierre Guédon, Imants D. Svalbe
Robust Digital Image Reconstruction via the Discrete Fourier Slice Theorem. IEEE Signal Process. Lett. 21 (6) (2014)
Shekhar S. Chandra, Ying Xia, Craig Engstrom, Stuart Crozier, Raphael Schwarz, Jurgen Fripp
Focused shape models for hip joint segmentation in 3D magnetic resonance images. Medical Image Anal. 18 (3) (2014)
Shekhar S. Chandra, Jason Dowling, Kai-Kai Shen, Parnesh Raniga, Josien P. W. Pluim, Peter B. Greer, Olivier Salvado, Jurgen Fripp
Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images. IEEE Trans. Medical Imaging 31 (10) (2012)
Shekhar S. Chandra
Fast Digital Convolutions using Bit-Shifts CoRR (2010)
Shekhar S. Chandra, Nicolas Normand, Andrew Kingston, Jean-Pierre Guédon, Imants D. Svalbe
Fast Mojette Transform for Discrete Tomography CoRR (2010)