Shekhar S. Chandra

74 papers A* 1B 1Misc 6Journal 48Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Automated and Robust Tool for Musculoskeletal and Finite Element Modeling of the Knee Joint. IEEE Trans. Biomed. Eng. 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, Rami K. Korhonen
2025	—	`conf`	Anatomical Grounding Pre-Training for Medical Phrase Grounding. ISBI WenJun Zhang, Shekhar S. Chandra, Aaron Nicolson
2025	—	`conf`	Automated 3D Segmentation of Glomeruli in Human Kidney Tissue Specimens Using 16.4 T MRI Without Contrast Agents. ISBI 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
2025	J	`jnl`	Generalised Medical Phrase Grounding. CoRR WenJun Zhang, Shekhar S. Chandra, Aaron Nicolson
2025	J	`jnl`	SAMRI: Segment Anything Model for MRI. CoRR Zhao Wang, Wei Dai, Thuy Thanh Dao, Steffen Bollmann, Hongfu Sun, Craig Engstrom, Shekhar S. Chandra
2025	J	`jnl`	SCGC : Self-supervised contrastive graph clustering. Neurocomputing Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
2025	—	`conf`	TripletResNet: A Deep Metric Learning Approach for mTBI Diagnosis from 3D CT. AI (2) Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh
2024	—	`conf`	A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification. ISBI Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra
2024	J	`jnl`	Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative. Medical Image Anal. Boyeong Woo, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
2024	Misc	`conf`	Evidence-Aware Multi-Modal Data Fusion and its Application to Total Knee Replacement Prediction. DICTA Xinwen Liu, Jing Wang, S. Kevin Zhou, Craig Engstrom, Shekhar S. Chandra
2024	J	`jnl`	GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping. Comput. Electron. Agric. Chrisbin James, Daniel Smith, Weigao He, Shekhar S. Chandra, Scott C. Chapman
2024	J	`jnl`	Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI. CoRR Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh
2024	J	`jnl`	Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning. IEEE Trans. Knowl. Data Eng. Lu Zhang, Zhibin Li, Shekhar S. Chandra, Fatima A. Nasrallah
2024	—	`conf`	Single Image Compressed Sensing MRI Via a Self-Supervised Deep Denoising Approach. ISBI Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra
2023	J	`jnl`	Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review. CoRR Fatima Al Zegair, D. Nathasha U. Naranpanawa, Brigid Betz-Stablein, Monika Janda, H. Peter Soyer, Shekhar S. Chandra
2023	J	`jnl`	Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data. NeuroImage Linfeng Liu, Siyu Liu, Lu Zhang, Xuan Vinh To, Fatima A. Nasrallah, Shekhar S. Chandra
2023	J	`jnl`	Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
2023	J	`jnl`	Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT. CoRR Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh
2023	J	`jnl`	Evidence-aware multi-modal data fusion and its application to total knee replacement prediction. CoRR Xinwen Liu, Jing Wang, S. Kevin Zhou, Craig Engstrom, Shekhar S. Chandra
2023	J	`jnl`	Explainable Semantic Medical Image Segmentation with Style. CoRR Wei Dai, Siyu Liu, Craig B. Engstrom, Shekhar S. Chandra
2023	J	`jnl`	Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. CoRR Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra
2023	—	`conf`	Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. AI (1) Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra
2023	Misc	`conf`	Manipulating Medical Image Translation with Manifold Disentanglement. DICTA Siyu Liu, Jason A. Dowling, Craig Engstrom, Peter B. Greer, Stuart Crozier, Shekhar S. Chandra
2023	—	`conf`	Medical Shape Pattern Analysis with MeshCNN. ISBI Sze-Nung Leung, Jason A. Dowling, Jurgen Fripp, Kai-Kai Shen, Shekhar S. Chandra
2023	J	`jnl`	Multi-scale MRI reconstruction via dilated ensemble networks. CoRR Wendi Ma, Marlon Bran Lorenzana, Wei Dai, Hongfu Sun, Shekhar S. Chandra
2023	J	`jnl`	Non-Separable Two-Dimensional Hadamard Transform via a Discrete Hadamard Slice Theorem. IEEE Signal Process. Lett. Marlon Bran Lorenzana, Shekhar S. Chandra
2023	J	`jnl`	PhaseNet: Phase-Encode Denoising Network for Compressed Sensing MRI. CoRR Marlon E. Bran Lorenzana, Shekhar S. Chandra, Feng Liu
2023	—	`conf`	Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative. MIDL Boyeong Woo, Marlon Bran Lorenzana, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
2023	J	`jnl`	Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach. CoRR Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra
2023	—	`conf`	Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery. MICCAI (5) Siyu Liu, Linfeng Liu, Craig Engstrom, Xuan Vinh To, Zongyuan Ge, Stuart Crozier, Fatima A. Nasrallah, Shekhar S. Chandra
2023	Misc	`conf`	Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network. DICTA Fatima Al Zegair, Chantal Rutjes, Brigid Betz-Stablein, Zongyuan Ge, H. Peter Soyer, Shekhar S. Chandra
2023	A*	`conf`	Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. CVPR Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge
2023	J	`jnl`	Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. CoRR Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge
2023	—	`conf`	TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. ISBI Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah
2023	J	`jnl`	TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. CoRR Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah
2023	J	`jnl`	Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification. CoRR Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra
2022	—	`conf`	Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images. MIDL Boyeong Woo, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
2022	J	`jnl`	Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative. CoRR Boyeong Woo, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
2022	J	`jnl`	CAN3D: Fast 3D medical image segmentation via compact context aggregation. Medical Image Anal. Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra
2022	J	`jnl`	Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data. CoRR Linfeng Liu, Siyu Liu, Lu Zhang, Xuan Vinh To, Fatima A. Nasrallah, Shekhar S. Chandra
2022	J	`jnl`	Efficient block contrastive learning via parameter-free meta-node approximation. CoRR Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
2022	Misc	`conf`	FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. AI Gayan K. Kulatilleke, Marius Portmann, Ryan K. L. Ko, Shekhar S. Chandra
2022	J	`jnl`	NBC-Softmax : Darkweb Author fingerprinting and migration tracking. CoRR Gayan K. Kulatilleke, Shekhar S. Chandra, Marius Portmann
2022	J	`jnl`	SCGC : Self-Supervised Contrastive Graph Clustering. CoRR Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra
2022	—	`conf`	Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings. MICCAI (3) Zhen Yu, Toàn D. Nguyên, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge
2022	J	`jnl`	Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings. CoRR Zhen Yu, Toàn D. Nguyên, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge
2022	B	`conf`	Transformer Compressed Sensing Via Global Image Tokens. ICIP Marlon Bran Lorenzana, Craig Engstrom, Shekhar S. Chandra
2022	J	`jnl`	Transformer Compressed Sensing via Global Image Tokens. CoRR Marlon Bran Lorenzana, Craig Engstrom, Feng Liu, Shekhar S. Chandra
2022	—	`conf`	Undersampled MRI Reconstruction with Side Information-Guided Normalisation. MICCAI (6) Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou
2022	J	`jnl`	Undersampled MRI Reconstruction with Side Information-Guided Normalisation. CoRR Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou
2021	J	`jnl`	Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform. CoRR Jacob M. White, Stuart Crozier, Shekhar S. Chandra
2021	J	`jnl`	Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform. IEEE Signal Process. Lett. Jacob M. White, Stuart Crozier, Shekhar S. Chandra
2021	J	`jnl`	CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation. CoRR Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig B. Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra
2021	J	`jnl`	Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI. CoRR Xinwen Liu, Jing Wang, Fangfang Tang, Shekhar S. Chandra, Feng Liu, Stuart Crozier
2021	J	`jnl`	FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping. CoRR Gayan K. Kulatilleke, Marius Portmann, Ryan K. L. Ko, Shekhar S. Chandra
2021	Misc	`conf`	Slim-YOLO: A Simplified Object Detection Model for the Detection of Pigmented Iris Freckles as a Potential Biomarker for Cutaneous Melanoma. DICTA D. Nathasha U. Naranpanawa, Yanyang Gu, Shekhar S. Chandra, Brigid Betz-Stablein, Richard A. Sturm, H. Peter Soyer, Anders P. Eriksson
2021	J	`jnl`	The detection of mild traumatic brain injury in paediatrics using artificial neural networks. Comput. Biol. Medicine Hanem Ellethy, Shekhar S. Chandra, Fatima A. Nasrallah
2020	J	`jnl`	Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI. CoRR Hang Min, Darryl McClymont, Shekhar S. Chandra, Stuart Crozier, Andrew P. Bradley
2020	J	`jnl`	Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis. CoRR Siyu Liu, Wei Dai, Craig Engstrom, Jurgen Fripp, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra
2020	—	`conf`	Fast High Dynamic Range MRI by Contrast Enhancement Networks. ISBI Matthew Marques, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
2020	—	`conf`	Fully Automatic Computer-aided Mass Detection and Segmentation via Pseudo-color Mammograms and Mask R-CNN. ISBI Hang Min, Devin Wilson, Yinhuang Huang, Siyu Liu, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra
2020	J	`jnl`	Manipulating Medical Image Translation with Manifold Disentanglement. CoRR Siyu Liu, Jason A. Dowling, Craig Engstrom, Peter B. Greer, Stuart Crozier, Shekhar S. Chandra
2019	J	`jnl`	Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN. CoRR Hang Min, Devin Wilson, Yinhuang Huang, Samuel Kelly, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra
2018	J	`jnl`	A lightweight rapid application development framework for biomedical image analysis. Comput. Methods Programs Biomed. Shekhar S. Chandra, Jason A. Dowling, Craig Engstrom, Ying Xia, Anthony Paproki, Ales Neubert, David Rivest-Hénault, Olivier Salvado, Stuart Crozier, Jurgen Fripp
2018	J	`jnl`	Chaotic Sensing. IEEE Trans. Image Process. Shekhar S. Chandra, Gary Ruben, Jin Jin, Mingyan Li, Andrew Kingston, Imants D. Svalbe, Stuart Crozier
2017	—	`conf`	Multi-scale mass segmentation for mammograms via cascaded random forests. ISBI Hang Min, Shekhar S. Chandra, Neeraj Dhungel, Stuart Crozier, Andrew P. Bradley
2016	Misc	`conf`	Finite Radial Reconstruction for Magnetic Resonance Imaging: A Theoretical Study. DICTA Shekhar S. Chandra, Ramitha Archchige, Gary Ruben, Jin Jin, Mingyan Li, Andrew Kingston, Imants D. Svalbe, Stuart Crozier
2016	—	`conf`	Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative. ISBI Ales Neubert, Ibrahim Naser, Anthony Paproki, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra
2015	—	`conf`	Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models. CSI@MICCAI Ales Neubert, Jurgen Fripp, Shekhar S. Chandra, Craig Engstrom, Stuart Crozier
2014	J	`jnl`	Focused shape models for hip joint segmentation in 3D magnetic resonance images. Medical Image Anal. Shekhar S. Chandra, Ying Xia, Craig Engstrom, Stuart Crozier, Raphael Schwarz, Jurgen Fripp
2014	J	`jnl`	Robust Digital Image Reconstruction via the Discrete Fourier Slice Theorem. IEEE Signal Process. Lett. Shekhar S. Chandra, Nicolas Normand, Andrew Kingston, Jeanpierre Guédon, Imants D. Svalbe
2012	J	`jnl`	Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images. IEEE Trans. Medical Imaging Shekhar S. Chandra, Jason Dowling, Kai-Kai Shen, Parnesh Raniga, Josien P. W. Pluim, Peter B. Greer, Olivier Salvado, Jurgen Fripp
2010	J	`jnl`	Fast Digital Convolutions using Bit-Shifts CoRR Shekhar S. Chandra
2010	J	`jnl`	Fast Mojette Transform for Discrete Tomography CoRR Shekhar S. Chandra, Nicolas Normand, Andrew Kingston, Jean-Pierre Guédon, Imants D. Svalbe