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ORCIDShekhar Chandra
Shekhar S. Chandra – Shakes Chandra
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Journal Articles
- 2025
[j17]Gayan K. Kulatilleke
, Marius Portmann, Shekhar S. Chandra:
SCGC : Self-supervised contrastive graph clustering. Neurocomputing 611: 128629 (2025)- [j16]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:
An Automated and Robust Tool for Musculoskeletal and Finite Element Modeling of the Knee Joint. IEEE Trans. Biomed. Eng. 72(1): 56-69 (2025) - 2024
- [j15]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: 108485 (2024) - [j14]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: 103089 (2024) - [j13]Lu Zhang, Zhibin Li, Shekhar S. Chandra, Fatima Nasrallah:
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning. IEEE Trans. Knowl. Data Eng. 36(8): 4089-4100 (2024) - 2023
- [j12]Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra:
Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing 561: 126850 (2023) - [j11]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: 120267 (2023) - [j10]Marlon Bran Lorenzana, Shekhar S. Chandra:
Non-Separable Two-Dimensional Hadamard Transform via a Discrete Hadamard Slice Theorem. IEEE Signal Process. Lett. 30: 1237-1241 (2023) - 2022
- [j9]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: 102562 (2022) - 2021
- [j8]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: 104614 (2021) - [j7]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: 2053-2057 (2021) - 2018
- [j6]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: 193-205 (2018) - [j5]Shekhar S. Chandra, Gary Ruben, Jin Jin, Mingyan Li, Andrew Kingston, Imants D. Svalbe, Stuart Crozier:
Chaotic Sensing. IEEE Trans. Image Process. 27(12): 6079-6092 (2018) - 2014
- [j4]Shekhar Chandra, Imants D. Svalbe:
Exact image representation via a number-theoretic Radon transform. IET Comput. Vis. 8(4): 338-346 (2014) - [j3]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): 567-578 (2014) - [j2]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): 682-686 (2014) - 2012
- [j1]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): 1955-1964 (2012)
Conference and Workshop Papers
- 2025
- [c39]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:
Automated 3D Segmentation of Glomeruli in Human Kidney Tissue Specimens Using 16.4 T MRI Without Contrast Agents. ISBI 2025: 1-5 - [c38]Wenjun Zhang, Shekhar S. Chandra, Aaron Nicolson:
Anatomical Grounding Pre-Training for Medical Phrase Grounding. ISBI 2025: 1-5 - 2024
- [c37]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. DICTA 2024: 221-228 - [c36]Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra:
Single Image Compressed Sensing MRI Via a Self-Supervised Deep Denoising Approach. ISBI 2024: 1-5 - [c35]Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra:
A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification. ISBI 2024: 1-5 - 2023
- [c34]Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra:
Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. AI (1) 2023: 483-494 - [c33]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: 11568-11577 - [c32]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: 245-250 - [c31]Siyu Liu, Jason A. Dowling, Craig Engstrom, Peter B. Greer, Stuart Crozier, Shekhar S. Chandra:
Manipulating Medical Image Translation with Manifold Disentanglement. DICTA 2023: 332-339 - [c30]Sze-Nung Leung, Jason A. Dowling, Jurgen Fripp, Kai-Kai Shen, Shekhar S. Chandra:
Medical Shape Pattern Analysis with MeshCNN. ISBI 2023: 1-5 - [c29]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: 1-4 - [c28]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: 368-378 - [c27]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: 905-917 - 2022
- [c26]Gayan K. Kulatilleke, Marius Portmann, Ryan K. L. Ko, Shekhar S. Chandra:
FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. AI 2022: 73-86 - [c25]Marlon Bran Lorenzana, Craig Engstrom, Shekhar S. Chandra:
Transformer Compressed Sensing Via Global Image Tokens. ICIP 2022: 3011-3015 - [c24]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: 323-333 - [c23]Zhen Yu, Toàn D. Nguyên, 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: 594-603 - [c22]Boyeong Woo, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra:
Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images. MIDL 2022: 1360-1374 - 2021
- [c21]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: 1-8 - [c20]Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Fangfang Tang, Stuart Crozier, Craig Engstrom, Shekhar Chandra:
Can3d: Fast 3d Knee Mri Segmentation Via Compact Context Aggregation. ISBI 2021: 1505-1508 - [c19]Zhen Yu, Victoria Mar, Anders Eriksson, Shakes Chandra, C. Paul Bonnington, Lei Zhang, Zongyuan Ge:
End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers. MICCAI (7) 2021: 176-184 - 2020
- [c18]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: 1111-1115 - [c17]Matthew Marques, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra:
Fast High Dynamic Range MRI by Contrast Enhancement Networks. ISBI 2020: 1446-1449 - 2017
- [c16]Hang Min, Shekhar S. Chandra, Neeraj Dhungel, Stuart Crozier, Andrew P. Bradley:
Multi-scale mass segmentation for mammograms via cascaded random forests. ISBI 2017: 113-117 - 2016
- [c15]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: 1-6 - [c14]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: 881-884 - 2015
- [c13]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: 150-158 - 2013
- [c12]Imants D. Svalbe, Andrew Kingston, Jeanpierre Guédon, Nicolas Normand, Shekhar Chandra:
Direct inversion of Mojette projections. ICIP 2013: 1036-1040 - 2012
- [c11]Zhengyi Yang, Stuart Crozier, Craig Engstrom, Raphael Schwarz, Lars Lauer, Jurgen Fripp, Shekhar Chandra, Ying Xia, Ales Neubert, Olivier Salvado, Tania Brancato:
Morphology-Based Interslice Interpolation on Manual Segmentations of Joint Bones and Muscles in MRI. DICTA 2012: 1-8 - [c10]Shekhar Chandra, Ying Xia, Craig Engstrom, Raphael Schwarz, Lars Lauer, Stuart Crozier, Olivier Salvado, Jurgen Fripp:
Unilateral hip joint segmentation with shape priors learned from missing data. ISBI 2012: 1711-1714 - 2011
- [c9]Imants D. Svalbe, Shekhar Chandra:
Growth of Discrete Projection Ghosts Created by Iteration. DGCI 2011: 406-416 - [c8]Shekhar Chandra, Jason Dowling, Kai-Kai Shen, Josien P. W. Pluim, Peter B. Greer, Olivier Salvado, Jurgen Fripp:
Automatic Segmentation of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models. DICTA 2011: 7-12 - [c7]Ying Xia, Shakes Chandra, Olivier Salvado, Jurgen Fripp, Raphael Schwarz, Lars Lauer, Craig Engstrom, Stuart Crozier:
Automated MR Hip Bone Segmentation. DICTA 2011: 25-30 - [c6]Jason Dowling, Jurgen Fripp, Shekhar Chandra, Josien P. W. Pluim, Jonathan Lambert, Joel Parker, James Denham, Peter B. Greer, Olivier Salvado:
Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images. Prostate Cancer Imaging 2011: 10-21 - 2010
- [c5]Imants D. Svalbe, Nikesh Nazareth, Nicolas Normand, Shekhar Chandra:
On Constructing Minimal Ghosts. DICTA 2010: 276-281 - 2009
- [c4]Shekhar Chandra, Imants D. Svalbe:
A Fast Number Theoretic Finite Radon Transform. DICTA 2009: 361-368 - 2008
- [c3]Shekhar Chandra, Imants D. Svalbe, Jean-Pierre Guédon:
An Exact, Non-iterative Mojette Inversion Technique Utilising Ghosts. DGCI 2008: 401-412 - [c2]Shekhar Chandra, Imants D. Svalbe:
A method for removing cyclic artefacts in discrete tomography using latin squares. ICPR 2008: 1-4 - 2006
- [c1]Imants D. Svalbe, Shekhar Chandra, Andrew Kingston, Jean-Pierre Guédon:
Quantised Angular Momentum Vectors and Projection Angle Distributions for Discrete Radon Transformations. DGCI 2006: 134-145
Informal and Other Publications
- 2025
- [i34]Wenjun Zhang, Shakes Chandra, Aaron Nicolson:
Anatomical grounding pre-training for medical phrase grounding. CoRR abs/2502.16585 (2025) - [i33]Zhao Wang, Wei Dai, Thuy Thanh Dao, Steffen Bollmann, Hongfu Sun, Craig Engstrom, Shekhar S. Chandra:
SAMRI: Segment Anything Model for MRI. CoRR abs/2510.26635 (2025) - 2024
- [i32]Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh:
Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI. CoRR abs/2401.03621 (2024) - 2023
- [i31]Marlon E. Bran Lorenzana, Shekhar S. Chandra, Feng Liu:
PhaseNet: Phase-Encode Denoising Network for Compressed Sensing MRI. CoRR abs/2302.08861 (2023) - [i30]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 abs/2303.00885 (2023) - [i29]Wei Dai, Siyu Liu, Craig B. Engstrom, Shekhar S. Chandra:
Explainable Semantic Medical Image Segmentation with Style. CoRR abs/2303.05696 (2023) - [i28]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 abs/2303.13810 (2023) - [i27]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 abs/2307.07177 (2023) - [i26]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 abs/2309.00265 (2023) - [i25]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 abs/2309.09689 (2023) - [i24]Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra:
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. CoRR abs/2309.12572 (2023) - [i23]Wendi Ma, Marlon Bran Lorenzana, Wei Dai, Hongfu Sun, Shekhar S. Chandra:
Multi-scale MRI reconstruction via dilated ensemble networks. CoRR abs/2310.04705 (2023) - [i22]Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra:
Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach. CoRR abs/2311.13144 (2023) - [i21]Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh:
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT. CoRR abs/2311.14197 (2023) - 2022
- [i20]Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou:
Undersampled MRI Reconstruction with Side Information-Guided Normalisation. CoRR abs/2203.03196 (2022) - [i19]Marlon Bran Lorenzana, Craig Engstrom, Feng Liu, Shekhar S. Chandra:
Transformer Compressed Sensing via Global Image Tokens. CoRR abs/2203.12861 (2022) - [i18]Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra:
SCGC : Self-Supervised Contrastive Graph Clustering. CoRR abs/2204.12656 (2022) - [i17]Zhen Yu, Toàn D. Nguyên, 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 abs/2209.05842 (2022) - [i16]Siyu Liu, Linfeng Liu, Xuan Vinh, Stuart Crozier, Craig Engstrom, Fatima A. Nasrallah, Shekhar Chandra:
Structure Guided Manifolds for Discovery of Disease Characteristics. CoRR abs/2209.11015 (2022) - [i15]Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra:
Efficient block contrastive learning via parameter-free meta-node approximation. CoRR abs/2209.14067 (2022) - [i14]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. CoRR abs/2210.00255 (2022) - [i13]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 abs/2211.16696 (2022) - [i12]Gayan K. Kulatilleke, Shekhar S. Chandra, Marius Portmann:
NBC-Softmax : Darkweb Author fingerprinting and migration tracking. CoRR abs/2212.08184 (2022) - 2021
- [i11]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 abs/2103.16744 (2021) - [i10]Jacob M. White, Stuart Crozier, Shekhar S. Chandra:
Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform. CoRR abs/2108.00639 (2021) - [i9]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 abs/2109.05443 (2021) - [i8]Gayan K. Kulatilleke, Marius Portmann, Ryan K. L. Ko, Shekhar S. Chandra:
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping. CoRR abs/2110.11464 (2021) - 2020
- [i7]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 abs/2006.15578 (2020) - [i6]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 abs/2007.03199 (2020) - [i5]Siyu Liu, Jason A. Dowling, Craig Engstrom, Peter B. Greer, Stuart Crozier, Shekhar S. Chandra:
Manipulating Medical Image Translation with Manifold Disentanglement. CoRR abs/2011.13615 (2020) - 2019
- [i4]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 abs/1906.12118 (2019) - 2011
- [i3]Shekhar Chandra, Imants D. Svalbe, Jean-Pierre V. Guédon, Andrew Kingston, Nicolas Normand:
Recovering Missing Slices of the Discrete Fourier Transform using Ghosts. CoRR abs/1101.0076 (2011) - 2010
- [i2]Shekhar S. Chandra:
Fast Digital Convolutions using Bit-Shifts. CoRR abs/1005.1497 (2010) - [i1]Shekhar S. Chandra, Nicolas Normand, Andrew Kingston, Jean-Pierre Guédon, Imants D. Svalbe:
Fast Mojette Transform for Discrete Tomography. CoRR abs/1006.1965 (2010)
Coauthor Index
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