Quantised Angular Momentum Vectors and Projection Angle Distributions for Discrete Radon Transformations. - Imants D. Svalbe; Shekhar Chandra; Andrew Kingston; Jean-Pierre Guédon (DGCI, 2006)

An Exact, Non-iterative Mojette Inversion Technique Utilising Ghosts. - Shekhar Chandra; Imants D. Svalbe; Jean-Pierre Guédon (DGCI, 2008)

A method for removing cyclic artefacts in discrete tomography using latin squares. - Shekhar Chandra; Imants D. Svalbe (ICPR, 2008)

A Fast Number Theoretic Finite Radon Transform. - Shekhar Chandra; Imants D. Svalbe (DICTA, 2009)

On Constructing Minimal Ghosts. - Imants D. Svalbe; Nikesh Nazareth; Nicolas Normand; Shekhar Chandra (DICTA, 2010)

Fast Digital Convolutions using Bit-Shifts - Shekhar S. Chandra (CoRR, 2010)

Fast Mojette Transform for Discrete Tomography - Shekhar S. Chandra; Nicolas Normand; Andrew Kingston; Jean-Pierre Guédon; Imants D. Svalbe (CoRR, 2010)

Growth of Discrete Projection Ghosts Created by Iteration. - Imants D. Svalbe; Shekhar Chandra (DGCI, 2011)

Automatic Segmentation of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models. - Shekhar Chandra; Jason Dowling; Kai-Kai Shen; Josien P. W. Pluim; Peter B. Greer; Olivier Salvado; Jurgen Fripp (DICTA, 2011)

Automated MR Hip Bone Segmentation. - Ying Xia; Shakes Chandra; Olivier Salvado; Jurgen Fripp; Raphael Schwarz; Lars Lauer; Craig Engstrom; Stuart Crozier (DICTA, 2011)

Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images. - Jason Dowling; Jurgen Fripp; Shekhar Chandra; Josien P. W. Pluim; Jonathan Lambert 001; Joel Parker; James Denham; Peter B. Greer; Olivier Salvado (Prostate Cancer Imaging, 2011)

Recovering Missing Slices of the Discrete Fourier Transform using Ghosts - Shekhar Chandra; Imants D. Svalbe; Jean-Pierre V. Guédon; Andrew Kingston; Nicolas Normand (CoRR, 2011)

Morphology-Based Interslice Interpolation on Manual Segmentations of Joint Bones and Muscles in MRI. - Zhengyi Yang 004; Stuart Crozier; Craig Engstrom; Raphael Schwarz; Lars Lauer; Jurgen Fripp; Shekhar Chandra; Ying Xia; Ales Neubert; Olivier Salvado; Tania Brancato (DICTA, 2012)

Unilateral hip joint segmentation with shape priors learned from missing data. - Shekhar Chandra; Ying Xia; Craig Engstrom; Raphael Schwarz; Lars Lauer; Stuart Crozier; Olivier Salvado; Jurgen Fripp (ISBI, 2012)

Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images. - Shekhar S. Chandra; Jason Dowling; Kai-Kai Shen; Parnesh Raniga; Josien P. W. Pluim; Peter B. Greer; Olivier Salvado; Jurgen Fripp (IEEE Trans. Medical Imaging, 2012)

Direct inversion of Mojette projections. - Imants D. Svalbe; Andrew Kingston; Jeanpierre Guédon; Nicolas Normand; Shekhar Chandra (ICIP, 2013)

Exact image representation via a number-theoretic Radon transform. - Shekhar Chandra; Imants D. Svalbe (IET Comput. Vis., 2014)

Focused shape models for hip joint segmentation in 3D magnetic resonance images. - Shekhar S. Chandra; Ying Xia; Craig Engstrom; Stuart Crozier; Raphael Schwarz; Jurgen Fripp (Medical Image Anal., 2014)

Robust Digital Image Reconstruction via the Discrete Fourier Slice Theorem. - Shekhar S. Chandra; Nicolas Normand; Andrew Kingston; Jeanpierre Guédon; Imants D. Svalbe (IEEE Signal Process. Lett., 2014)

Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models. - Ales Neubert; Jurgen Fripp; Shekhar S. Chandra; Craig Engstrom; Stuart Crozier (CSI@MICCAI, 2015)

Finite Radial Reconstruction for Magnetic Resonance Imaging: A Theoretical Study. - Shekhar S. Chandra; Ramitha Archchige; Gary Ruben; Jin Jin 003; Mingyan Li; Andrew Kingston; Imants D. Svalbe; Stuart Crozier (DICTA, 2016)

Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative. - Ales Neubert; Ibrahim Naser; Anthony Paproki; Craig Engstrom; Jurgen Fripp; Stuart Crozier; Shekhar S. Chandra (ISBI, 2016)

Multi-scale mass segmentation for mammograms via cascaded random forests. - Hang Min; Shekhar S. Chandra; Neeraj Dhungel; Stuart Crozier; Andrew P. Bradley (ISBI, 2017)

A lightweight rapid application development framework for biomedical image analysis. - Shekhar S. Chandra; Jason A. Dowling; Craig Engstrom; Ying Xia; Anthony Paproki; Ales Neubert; David Rivest-Hénault; Olivier Salvado; Stuart Crozier; Jurgen Fripp (Comput. Methods Programs Biomed., 2018)

Chaotic Sensing. - Shekhar S. Chandra; Gary Ruben; Jin Jin 003; Mingyan Li; Andrew Kingston; Imants D. Svalbe; Stuart Crozier (IEEE Trans. Image Process., 2018)

Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN. - Hang Min; Devin Wilson; Yinhuang Huang; Samuel Kelly; Stuart Crozier; Andrew P. Bradley; Shekhar S. Chandra (CoRR, 2019)

Fast High Dynamic Range MRI by Contrast Enhancement Networks. - Matthew Marques; Craig Engstrom; Jurgen Fripp; Stuart Crozier; Shekhar S. Chandra (ISBI, 2020)

Fully Automatic Computer-aided Mass Detection and Segmentation via Pseudo-color Mammograms and Mask R-CNN. - Hang Min; Devin Wilson; Yinhuang Huang; Siyu Liu 002; Stuart Crozier; Andrew P. Bradley; Shekhar S. Chandra (ISBI, 2020)

Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis. - Siyu Liu 002; Wei Dai; Craig Engstrom; Jurgen Fripp; Peter B. Greer; Stuart Crozier; Jason A. Dowling; Shekhar S. Chandra (CoRR, 2020)

Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI. - Hang Min; Darryl McClymont; Shekhar S. Chandra; Stuart Crozier; Andrew P. Bradley (CoRR, 2020)

Slim-YOLO: A Simplified Object Detection Model for the Detection of Pigmented Iris Freckles as a Potential Biomarker for Cutaneous Melanoma. - D. Nathasha U. Naranpanawa; Yanyang Gu; Shekhar S. Chandra; Brigid Betz-Stablein; Richard A. Sturm; H. Peter Soyer; Anders P. Eriksson (DICTA, 2021)

Can3d: Fast 3d Knee Mri Segmentation Via Compact Context Aggregation. - Wei Dai; Boyeong Woo; Siyu Liu 002; Matthew Marques; Fangfang Tang; Stuart Crozier; Craig Engstrom; Shekhar Chandra (ISBI, 2021)

End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers. - Zhen Yu; Victoria Mar; Anders Eriksson; Shakes Chandra; C. Paul Bonnington; Lei Zhang 095; Zongyuan Ge (MICCAI (7), 2021)

The detection of mild traumatic brain injury in paediatrics using artificial neural networks. - Hanem Ellethy; Shekhar S. Chandra; Fatima A. Nasrallah (Comput. Biol. Medicine, 2021)

Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI. - Xinwen Liu 003; Jing Wang 062; Fangfang Tang; Shekhar S. Chandra; Feng Liu 005; Stuart Crozier (CoRR, 2021)

FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping. - Gayan K. Kulatilleke; Marius Portmann; Ryan K. L. Ko; Shekhar S. Chandra (CoRR, 2021)

Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform. - Jacob M. White 002; Stuart Crozier; Shekhar S. Chandra (IEEE Signal Process. Lett., 2021)

FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. - Gayan K. Kulatilleke; Marius Portmann; Ryan K. L. Ko; Shekhar S. Chandra (AI, 2022)

Transformer Compressed Sensing Via Global Image Tokens. - Marlon Bran Lorenzana; Craig Engstrom; Shekhar S. Chandra (ICIP, 2022)

Undersampled MRI Reconstruction with Side Information-Guided Normalisation. - Xinwen Liu 003; Jing Wang 062; Cheng Peng 008; Shekhar S. Chandra; Feng Liu 005; S. Kevin Zhou (MICCAI (6), 2022)

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings. - Zhen Yu; Toàn D. Nguyên; Yaniv Gal; Lie Ju; Shekhar S. Chandra; Lei Zhang 095; C. Paul Bonnington; Victoria Mar; Zhiyong Wang 001; Zongyuan Ge (MICCAI (3), 2022)

Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images. - Boyeong Woo; Craig Engstrom; Jurgen Fripp; Stuart Crozier; Shekhar S. Chandra (MIDL, 2022)

Transformer Compressed Sensing via Global Image Tokens. - Marlon Bran Lorenzana; Craig Engstrom; Feng Liu 005; Shekhar S. Chandra (CoRR, 2022)

Structure Guided Manifolds for Discovery of Disease Characteristics. - Siyu Liu 002; Linfeng Liu; Xuan Vinh; Stuart Crozier; Craig Engstrom; Fatima A. Nasrallah; Shekhar Chandra (CoRR, 2022)

NBC-Softmax : Darkweb Author fingerprinting and migration tracking. - Gayan K. Kulatilleke; Shekhar S. Chandra; Marius Portmann (CoRR, 2022)

CAN3D: Fast 3D medical image segmentation via compact context aggregation. - Wei Dai; Boyeong Woo; Siyu Liu 002; Matthew Marques; Craig Engstrom; Peter B. Greer; Stuart Crozier; Jason A. Dowling; Shekhar S. Chandra (Medical Image Anal., 2022)

Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. - Hanem Ellethy; Viktor Vegh; Shekhar S. Chandra (AI (1), 2023)

Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. - Siyuan Yan; Zhen Yu; Xuelin Zhang; Dwarikanath Mahapatra; Shekhar S. Chandra; Monika Janda; H. Peter Soyer; Zongyuan Ge (CVPR, 2023)

Manipulating Medical Image Translation with Manifold Disentanglement. - Siyu Liu 002; Jason A. Dowling; Craig Engstrom; Peter B. Greer; Stuart Crozier; Shekhar S. Chandra (DICTA, 2023)

Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network. - Fatima Al Zegair; Chantal Rutjes; Brigid Betz-Stablein; Zongyuan Ge; H. Peter Soyer; Shekhar S. Chandra (DICTA, 2023)

Medical Shape Pattern Analysis with MeshCNN. - Sze-Nung Leung; Jason A. Dowling; Jurgen Fripp; Kai-Kai Shen; Shekhar S. Chandra (ISBI, 2023)

TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. - Linfeng Liu; Junyan Lyu; Siyu Liu 002; Xiaoying Tang 001; Shekhar S. Chandra; Fatima A. Nasrallah (ISBI, 2023)

Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery. - Siyu Liu 002; Linfeng Liu; Craig Engstrom; Xuan Vinh To; Zongyuan Ge; Stuart Crozier; Fatima A. Nasrallah; Shekhar S. Chandra (MICCAI (5), 2023)

Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative. - Boyeong Woo; Marlon Bran Lorenzana; Craig Engstrom; William Baresic; Jurgen Fripp; Stuart Crozier; Shekhar S. Chandra (MIDL, 2023)

PhaseNet: Phase-Encode Denoising Network for Compressed Sensing MRI. - Marlon E. Bran Lorenzana; Shekhar S. Chandra; Feng Liu 005 (CoRR, 2023)

Explainable Semantic Medical Image Segmentation with Style. - Wei Dai; Siyu Liu 002; Craig B. Engstrom; Shekhar S. Chandra (CoRR, 2023)

Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review. - Fatima Al Zegair; D. Nathasha U. Naranpanawa; Brigid Betz-Stablein; Monika Janda; H. Peter Soyer; Shekhar S. Chandra (CoRR, 2023)

Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification. - Nathasha Naranpanawa; H. Peter Soyer; Adam Mothershaw; Gayan K. Kulatilleke; Zongyuan Ge; Brigid Betz-Stablein; Shekhar S. Chandra (CoRR, 2023)

Multi-scale MRI reconstruction via dilated ensemble networks. - Wendi Ma; Marlon Bran Lorenzana; Wei Dai; Hongfu Sun; Shekhar S. Chandra (CoRR, 2023)

Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT. - Hanem Ellethy; Shekhar S. Chandra; Viktor Vegh (CoRR, 2023)

Non-Separable Two-Dimensional Hadamard Transform via a Discrete Hadamard Slice Theorem. - Marlon Bran Lorenzana; Shekhar S. Chandra (IEEE Signal Process. Lett., 2023)

Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data. - Linfeng Liu; Siyu Liu 002; Lu Zhang 062; Xuan Vinh To; Fatima A. Nasrallah; Shekhar S. Chandra (NeuroImage, 2023)

Efficient block contrastive learning via parameter-free meta-node approximation. - Gayan K. Kulatilleke; Marius Portmann; Shekhar S. Chandra (Neurocomputing, 2023)

Evidence-Aware Multi-Modal Data Fusion and its Application to Total Knee Replacement Prediction. - Xinwen Liu 003; Jing Wang 062; S. Kevin Zhou; Craig Engstrom; Shekhar S. Chandra (DICTA, 2024)

Single Image Compressed Sensing MRI Via a Self-Supervised Deep Denoising Approach. - Marlon Bran Lorenzana; Feng Liu 005; Shekhar S. Chandra (ISBI, 2024)

A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification. - Nathasha Naranpanawa; H. Peter Soyer; Adam Mothershaw; Gayan K. Kulatilleke; Zongyuan Ge; Brigid Betz-Stablein; Shekhar S. Chandra (ISBI, 2024)

GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping. - Chrisbin James; Daniel Smith; Weigao He; Shekhar S. Chandra; Scott C. Chapman (Comput. Electron. Agric., 2024)

Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI. - Hanem Ellethy; Shekhar S. Chandra; Viktor Vegh (CoRR, 2024)

Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative. - Boyeong Woo; Craig Engstrom; William Baresic; Jurgen Fripp; Stuart Crozier; Shekhar S. Chandra (Medical Image Anal., 2024)

Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning. - Lu Zhang 062; Zhibin Li 002; Shekhar S. Chandra; Fatima Nasrallah (IEEE Trans. Knowl. Data Eng., 2024)

Automated 3D Segmentation of Glomeruli in Human Kidney Tissue Specimens Using 16.4 T MRI Without Contrast Agents. - Aurel J. Amar; Nyoman D. Kurniawan; Luise A. Cullen-McEwen; Andrew J. Kassianos; Helen G. Healy; John F. Bertram; Shekhar S. Chandra; David C. Reutens (ISBI, 2025)

Anatomical Grounding Pre-Training for Medical Phrase Grounding. - Wenjun Zhang; Shekhar S. Chandra; Aaron Nicolson (ISBI, 2025)

SCGC : Self-supervised contrastive graph clustering. - Gayan K. Kulatilleke; Marius Portmann; Shekhar S. Chandra (Neurocomputing, 2025)

An Automated and Robust Tool for Musculoskeletal and Finite Element Modeling of the Knee Joint. - Amir Esrafilian; Shekhar S. Chandra; Anthony A. Gatti; Mikko J. Nissi; Anne-Mari Mustonen; Laura Säisänen; Jusa Reijonen; Petteri Nieminen; Petro Julkunen; Juha Töyräs; David John Saxby; David G. Lloyd; et al. (IEEE Trans. Biomed. Eng., 2025)