Dr Shakes Chandra
Senior Lecturer
School of Electrical Engineering and Computer Science
+61 7 336 58359
Researcher biography
Shakes an imaging expert that leads a strong deep learning, artificial intelligence (AI) focused research team interested in medical image analysis and signal/image processing applied to many areas of science and medicine. He received his Ph.D in Theoretical Physics from Monash University, Melbourne and has been involved in applying machine learning in medical imaging for over a decade.
Shakes' past work has involved developing shape model-based algorithms for knee, hip and shoulder joint segmentation that is being developed and deployed as a product on the Siemens syngo.via platform. More recent work involves deep learning based algorithms for semantic segmentation and manifold learning of imaging data. Broadly, he is interested in understanding and developing the mathematical basis of imaging, image analysis algorithms and physical systems. He has developed algorithms that utilise exotic mathematical structures such as fractals, turbulence, group theoretic concepts and number theory in the image processing approaches that he has developed.
He is currently a Senior Lecturer and leads a team of 20+ researchers working image analysis and AI research across healthcare and medicine. He currently teaches the computer science courses Theory of Computation and Pattern Recognition and Analysis.
Journal Articles
Kulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2025). SCGC : Self-supervised contrastive graph clustering. Neurocomputing, 611 128629, 128629. doi: 10.1016/j.neucom.2024.128629
Esrafilian, Amir, Chandra, Shekhar S, Gatti, Anthony A, Nissi, Mikko, Mustonen, Anne-Mari, Saisanen, Laura, Reijonen, Jusa, Nieminen, Petteri, Julkunen, Petro, Toyras, Juha, Saxby, David J, Lloyd, David G and Korhonen, Rami K (2024). An automated and robust tool for musculoskeletal and finite element modeling of the knee joint. IEEE Transactions on Biomedical Engineering, 1-13. doi: 10.1109/tbme.2024.3438272
Naranpanawa, Nathasha, Jayasinghe, Dilki, Sturm, Richard A., Betz-Stablein, Brigid, Janda, Monika, Eriksson, Anders, Soyer, H. Peter and Chandra, Shekhar S. (2024). Automated Detection of Pigmented Iris Freckles using a Deep Neural Network for Cutaneous Melanoma Risk. Journal of Investigative Dermatology, 144 (11), 2602-2605.e4. doi: 10.1016/j.jid.2024.04.029
Leung, Sze-Nung, Chandra, Shekhar S., Lim, Karen, Young, Tony, Holloway, Lois and Dowling, Jason A. (2024). Automatic segmentation of tumour and organs at risk in 3D MRI for cervical cancer radiation therapy with anatomical variations. Physical and Engineering Sciences in Medicine, 47 (3), 1-10. doi: 10.1007/s13246-024-01415-y
Woo, Boyeong, Engstrom, Craig, Baresic, William, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2024). Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative. Medical Image Analysis, 93 103089, 103089. doi: 10.1016/j.media.2024.103089
James, Chrisbin, Smith, Daniel, He, Weigao, Chandra, Shekhar S. and Chapman, Scott C. (2024). GrainPointNet: a deep-learning framework for non-invasive sorghum panicle grain count phenotyping. Computers and Electronics in Agriculture, 217 108485, 108485. doi: 10.1016/j.compag.2023.108485
Bugeja, Jessica M., Xia, Ying, Chandra, Shekhar S., Murphy, Nicholas J., Crozier, Stuart, Hunter, David J., Fripp, Jurgen and Engstrom, Craig (2024). Analysis of cam location characteristics in FAI syndrome patients from 3D MR images demonstrates sex‐specific differences. Journal of Orthopaedic Research, 42 (2), 385-394. doi: 10.1002/jor.25674
Bran Lorenzana, Marlon, Chandra, Shekhar S. and Liu, Feng (2024). AliasNet: Alias artefact suppression network for accelerated phase-encode MRI. Magnetic Resonance Imaging, 105, 17-28. doi: 10.1016/j.mri.2023.10.001
Zhang, Lu, Li, Zhibin, Chandra, Shekhar S. and Nasrallah, Fatima (2024). Multi-modal traumatic brain injury prognosis via structure-aware field-wise learning. IEEE Transactions on Knowledge and Data Engineering, 36 (8), 1-12. doi: 10.1109/tkde.2024.3364385
Kulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2023). Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing, 561 126850, 126850. doi: 10.1016/j.neucom.2023.126850
Lorenzana, Marlon Bran and Chandra, Shekhar S. (2023). Non-separable two-dimensional Hadamard transform via a discrete Hadamard slice theorem. IEEE Signal Processing Letters, 30 (99), 1237-1241. doi: 10.1109/lsp.2023.3311349
Moinian, Shahrzad, Kurniawan, Nyoman D., Chandra, Shekhar S., Vegh, Viktor and Reutens, David C. (2023). An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI. Intelligence-Based Medicine, 8 100108, 1-15. doi: 10.1016/j.ibmed.2023.100108
Liu, Linfeng, Liu, Siyu, Zhang, Lu, To, Xuan Vinh, Nasrallah, Fatima and Chandra, Shekhar S. (2023). Cascaded multi-modal mixing transformers for Alzheimer’s disease classification with incomplete data. NeuroImage, 277 120267, 120267. doi: 10.1016/j.neuroimage.2023.120267
Nasrallah, Fatima, Bellapart, Judith, Walsham, James, Jacobson, Esther, To, Xuan Vinh, Manzanero, Silvia, Brown, Nathan, Meyer, Jason, Stuart, Janine, Evans, Tracey, Chandra, Shekhar S., Ross, Jason, Campbell, Lewis, Senthuran, Siva, Newcombe, Virginia, McCullough, James, Fleming, Jennifer, Pollard, Clifford and Reade, Michael (2023). PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury (PREDICT-TBI) study protocol: an observational, prospective, multicentre cohort study for the prediction of outcome in moderate-to-severe TBI. BMJ Open, 13 (4) e067740, 1-9. doi: 10.1136/bmjopen-2022-067740
Dai, Wei, Woo, Boyeong, Liu, Siyu, Marques, Matthew, Engstrom, Craig, Greer, Peter B., Crozier, Stuart, Dowling, Jason A. and Chandra, Shekhar S. (2022). CAN3D: Fast 3D medical image segmentation via compact context aggregation. Medical Image Analysis, 82 102562, 1-17. doi: 10.1016/j.media.2022.102562
Ellethy, Hanem, Chandra, Shekhar S. and Nasrallah, Fatima A. (2022). Deep neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN rule. Journal of the American College of Radiology, 19 (6), 769-778. doi: 10.1016/j.jacr.2022.02.024
Bugeja, Jessica M., Xia, Ying, Chandra, Shekhar S., Murphy, Nicholas J., Eyles, Jillian, Spiers, Libby, Crozier, Stuart, Hunter, David J., Fripp, Jurgen and Engstrom, Craig (2022). Automated 3D analysis of clinical magnetic resonance images demonstrates significant reductions in cam morphology following arthroscopic intervention in contrast to physiotherapy. Arthroscopy, Sports Medicine, and Rehabilitation, 4 (4), e1353-e1362. doi: 10.1016/j.asmr.2022.04.020
Bugeja, Jessica M., Xia, Ying, Chandra, Shekhar S., Murphy, Nicholas J., Eyles, Jillian, Spiers, Libby, Crozier, Stuart, Hunter, David J., Fripp, Jurgen and Engstrom, Craig (2022). Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images. Quantitative Imaging in Medicine and Surgery, 12 (10), 4941. doi: 10.21037/qims-22-332
Bugeja, Jessica M., Chandra, Shekhar S., Neubert, Aleš, Fripp, Jurgen, Lockard, Carly A., Ho, Charles P., Crozier, Stuart and Engstrom, Craig (2021). Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations. Magnetic Resonance Imaging, 82, 42-54. doi: 10.1016/j.mri.2021.06.008
Chandra, Shekhar S., Bran Lorenzana, Marlon, Liu, Xinwen, Liu, Siyu, Bollmann, Steffen and Crozier, Stuart (2021). Deep learning in magnetic resonance image reconstruction. Journal of Medical Imaging and Radiation Oncology, 65 (5) 1754-9485.13276, 564-577. doi: 10.1111/1754-9485.13276
Ellethy, Hanem, Chandra, Shekhar S. and Nasrallah, Fatima A. (2021). The detection of mild traumatic brain injury in paediatrics using artificial neural networks. Computers in Biology and Medicine, 135 104614, 1-9. doi: 10.1016/j.compbiomed.2021.104614
White, Jacob Michael, Crozier, Stuart and Chandra, Shekhar Suresh (2021). Bespoke fractal sampling patterns for discrete Fourier space via the kaleidoscope transform. IEEE Signal Processing Letters, 14 (8), 1-5. doi: 10.1109/lsp.2021.3116510
Liu, Xinwen, Wang, Jing, Sun, Hongfu, Chandra, Shekhar S, Crozier, Stuart and Liu, Feng (2021). On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks. Magnetic resonance imaging, 77, 159-168. doi: 10.1016/j.mri.2020.12.019
Li, Mao, Venäläinen, Mikko S., Chandra, Shekhar S., Patel, Rushabh, Fripp, Jurgen, Engstrom, Craig, Korhonen, Rami K., Töyräs, Juha and Crozier, Stuart (2021). Discrete element and finite element methods provide similar estimations for hip joint contact mechanics during walking gait. Journal of Biomechanics, 115 110163, 1-11. doi: 10.1016/j.jbiomech.2020.110163
Xi, Jinxiang, Talaat, Mohamed, Si, Xiuhua April and Chandra, Shekhar (2021). The application of statistical shape modeling for lung morphology in aerosol inhalation dosimetry. Journal of Aerosol Science, 151 105623, 105623. doi: 10.1016/j.jaerosci.2020.105623
Min, Hang, McClymont, Darryl, Chandra, Shekhar S., Crozier, Stuart and Bradley, Andrew P. (2020). Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI. Biomedical Physics and Engineering Express, 6 (6) 065027, 065027. doi: 10.1088/2057-1976/abc45c
Li, Mao, Shan, Shanshan, Chandra, Shekhar S., Liu, Feng and Crozier, Stuart (2020). Fast geometric distortion correction using a deep neural network: implementation for the 1 Tesla MRI-Linac system. Medical Physics, 47 (9) mp.14382, 4303-4315. doi: 10.1002/mp.14382
Neubert, Aleš, Bourgeat, Pierrick, Wood, Jason, Engstrom, Craig, Chandra, Shekhar S., Crozier, Stuart and Fripp, Jurgen (2020). Simultaneous super-resolution and contrast synthesis of routine clinical magnetic resonance images of the knee for improving automatic segmentation of joint cartilage: data from the Osteoarthritis Initiative. Medical Physics, 47 (10) mp.14421, 4939-4948. doi: 10.1002/mp.14421
Min, Hang, Chandra, Shekhar S, Crozier, Stuart and Bradley, Andrew P (2019). Multi-scale sifting for mammographic mass detection and segmentation. Biomedical Physics and Engineering Express, 5 (2) 025022, 025022. doi: 10.1088/2057-1976/aafc07
Chandra, Shekhar S., Engstrom, Craig, Fripp, Jurgen, Neubert, Ales, Jin, Jin, Walker, Duncan, Salvado, Olivier, Ho, Charles and Crozier, Stuart (2018). Local contrast-enhanced MR images via high dynamic range processing. Magnetic Resonance in Medicine, 80 (3), 1206-1218. doi: 10.1002/mrm.27109
Chandra, Shekhar S., Ruben, Gary, Jin, Jin, Li, Mingyan, Kingston, Andrew, Svalbe, Imants and Crozier, Stuart (2018). Chaotic Sensing. IEEE Transactions on Image Processing, 27 (12) 8432445, 1-1. doi: 10.1109/TIP.2018.2864918
Chandra, Shekhar S., Dowling, Jason A., Engstrom, Craig, Xia, Ying, Paproki, Anthony, Neubert, Aleš, Rivest-Hénault, David, Salvado, Olivier, Crozier, Stuart and Fripp, Jurgen (2018). A lightweight rapid application development framework for biomedical image analysis. Computer Methods and Programs in Biomedicine, 164, 193-205. doi: 10.1016/j.cmpb.2018.07.011
Chandra, Shekhar S., Dowling, Jason A., Greer, Peter B., Martin, Jarad, Wratten, Chris, Pichler, Peter, Fripp, Jurgen and Crozier, Stuart (2016). Fast automated segmentation of multiple objects via spatially weighted shape learning. Physics in Medicine and Biology, 61 (22), 8070-8084. doi: 10.1088/0031-9155/61/22/8070
Neubert, A., Yang, Z., Engstrom, C., Xia, Y., Strudwick, M. W., Chandra, S. S., Fripp, J. and Crozier, S. (2016). Automatic segmentation of the glenohumeral cartilages from magnetic resonance images. Medical Physics, 43 (10), 5370-5379. doi: 10.1118/1.4961011
Dowling, Jason A., Sun, Jidi, Pichler, Peter, Rivest-Hénault, David, Ghose, Soumya, Richardson, Haylea, Wratten, Chris, Martin, Jarad, Arm, Jameen, Best, Leah, Chandra, Shekhar S., Fripp, Jurgen, Menk, Frederick W. and Greer, Peter B. (2015). Automatic substitute computed tomography generation and contouring for magnetic resonance imaging (MRI)-alone external beam radiation therapy from standard MRI sequences. International Journal of Radiation Oncology Biology Physics, 93 (5), 1144-1153. doi: 10.1016/j.ijrobp.2015.08.045
Xia, Ying, Fripp, Jurgen, Chandra, Shekhar S., Walker, Duncan, Crozier, Stuart and Engstrom, Craig M. (2015). Automated 3D quantitative assessment and measurement of alpha angles from the femoral head-neck junction using MR imaging. Physics in Medicine and Biology, 60 (19), 7601-7616. doi: 10.1088/0031-9155/60/19/7601
Chandra, Shekhar S., Surowiec, Rachel, Ho, Charles, Xia, Ying, Engstrom, Craig M., Crozier, Stuart and Fripp, Jurgen (2015). Automated analysis of hip joint cartilage combining MR T2 and three-dimensional fast-spin-echo images. Magnetic Resonance in Medicine, 75 (1), 403-413. doi: 10.1002/mrm.25598
Yang, Zhengyi, Fripp, Jurgen, Chandra, Shekhar S., Neubert, Ales, Xia, Ying, Strudwick, Mark, Paproki, Anthony, Engstrom, Craig and Crozier, Stuart (2015). Automatic bone segmentation and bone-cartilage interface extraction for the shoulder joint from magnetic resonance images. Physics in Medicine and Biology, 60 (4), 1441-1459. doi: 10.1088/0031-9155/60/4/1441
Xia, Ying, Chandra, Shekhar S., Engstrom, Craig M., Strudwick, Mark W., Crozier, Stuart and Fripp, Jurgen (2014). Automatic hip cartilage segmentation from 3D MR images using arc-weighted graph searching. Physics In Medicine And Biology, 59 (23), 7245-7266. doi: 10.1088/0031-9155/59/23/7245
Chandra, Shekhar S. and Svalbe, Imants (2014). Exact image representation via a number-theoretic Radon transform. IET Computer Vision, 8 (4), 338-346. doi: 10.1049/iet-cvi.2013.0101
Chandra, Shekhar S., Normand, Nicolas, Kingston, Andrew, Guedon, Jeanpierre and Svalbe, Imants (2014). Robust digital image reconstruction via the discrete Fourier slice theorem. IEEE Signal Processing Letters, 21 (6) 6777574, 682-686. doi: 10.1109/LSP.2014.2313341
Chandra, Shekhar S., Xia, Ying, Engstrom, Craig, Crozier, Stuart, Schwarz, Raphael and Fripp, Jurgen (2014). Focused shape models for hip joint segmentation in 3D magnetic resonance images. Medical Image Analysis, 18 (3), 567-578. doi: 10.1016/j.media.2014.02.002
Paproki, A., Engstrom, C., Chandra, S. S., Neubert, A., Fripp, J. and Crozier, S. (2014). Automated segmentation and analysis of normal and osteoarthritic knee menisci from magnetic resonance images: data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage, 22 (9), 1259-1270. doi: 10.1016/j.joca.2014.06.029
Jameson, Michael G., De Leon, Jeremiah, Windsor, Apsara A., Cloak, Kirrily, Keats, Sarah, Dowling, Jason A, Chandra, Shekhar S., Vial, Philip, Sidhom, Mark, Holloway, Lois and Metcalfe, Peter (2013). Endorectal balloons in the post prostatectomy setting: Do gains in stability lead to more predictable dosimetry?. Radiotherapy and Oncology, 109 (3), 493-497. doi: 10.1016/j.radonc.2013.08.024
Xia, Ying, Fripp, Jurgen, Chandra, Shekhar S., Schwarz, Raphael, Engstrom, Craig and Crozier, Stuart (2013). Automated bone segmentation from large field of view 3D MR images of the hip joint. Physics in Medicine and Biology, 58 (20), 7375-7390. doi: 10.1088/0031-9155/58/20/7375
Chandra, Shekhar S., Dowling, Jason A., Shen, Kai-Kai, Raniga, Parnesh, Pluim, Josien P. W., Greer, Peter B., Salvado, Olivier and Fripp, Jurgen (2012). Patient specific prostate segmentation in 3-D magnetic resonance images. IEEE Transactions On Medical Imaging, 31 (10) 6257497, 1955-1964. doi: 10.1109/TMI.2012.2211377
Chandra, Shekhar S., Svalbe, Imants D., Guedon, Jeanpierre, Kingston, Andrew M. and Normand, Nicolas (2012). Recovering missing slices of the discrete fourier transform using ghosts. IEEE Transactions on Image Processing, 21 (10) 6226457, 4431-4441. doi: 10.1109/TIP.2012.2206033
Svalbe, Imants, Chandra, Shekhar, Kingston, Andrew and Guedon, Jean-Pierre (2006). Quantised angular momentum vectors and projection angle distributions for discrete radon transformations. Discrete Geometry for Computer Imagery, Proceedings, 4245, 134-145.
Conference Papers
Bran Lorenzana, Marlon, Liu, Feng and Chandra, Shekhar S. (2024). Single image compressed sensing MRI via a self-supervised deep denoising approach. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 27-30 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/isbi56570.2024.10635749
Naranpanawa, Nathasha, Soyer, H. Peter, Mothershaw, Adam, Kulatilleke, Gayan K., Ge, Zongyuan, Betz-Stablein, Brigid and Chandra, Shekhar S. (2024). A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification. IEEE. doi: 10.1109/isbi56570.2024.10635546
Ellethy, Hanem, Vegh, Viktor and Chandra, Shekhar S. (2024). Interpretable 3D multi-modal residual convolutional neural network for mild traumatic brain injury diagnosis. 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, 28 November – 1 December 2023. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-8388-9_39
Moinian, Shahrzad, Kurniawan, Nyoman, Chandra, Shekhar, Vegh, Viktor and Reutens, David (2024). An unsupervised deep learning-based method for in vivo high resolution Kidney MRI motion correction. 2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, ON, Canada, 3-8 June 2023. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2023/4915
Zegair, Fatima Al, Rutjes, Chantal, Betz-Stablein, Brigid, Ge, Zongyuan, Soyer, H. Peter and Chandra, Shekhar S. (2023). Suspicious naevi classification using auxiliary classifier generative adversarial network. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, NSW, Australia, 28 November - 1 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/dicta60407.2023.00041
Liu, Siyu, Dowling, Jason A., Engstrom, Craig, Greer, Peter B., Crozier, Stuart and Chandra, Shekhar S. (2023). Manipulating medical image translation with manifold disentanglement. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, Australia, 28 November-1 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/dicta60407.2023.00053
Liu, Linfeng, Lyu, Junyan, Liu, Siyu, Tang, Xiaoying, Chandra, Shekhar S. and Nasrallah, Fatima A. (2023). TriFormer: A multi-modal transformer framework for mild cognitive impairment conversion prediction. 20th IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, 18-21 April 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/isbi53787.2023.10230709
Leung, Sze-Nung, Dowling, Jason A., Fripp, Jurgen, Shen, Kai-Kai and Chandra, Shekhar S. (2023). Medical shape pattern analysis with MeshCNN. 20th IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, 18-21 April 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/isbi53787.2023.10230427
Yan, Siyuan, Yu, Zhen, Zhang, Xuelin, Mahapatra, Dwarikanath, Chandra, Shekhar S., Janda, Monika, Soyer, Peter and Ge, Zongyuan (2023). Towards trustable skin cancer diagnosis via rewriting model's decision. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 17-24 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/cvpr52729.2023.01113
Woo, Boyeong, Bran Lorenzana, Marlon, Engstrom, Craig, Baresic, William, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2023). Semantic segmentation of 3D medical images through a kaleidoscope: data from the Osteoarthritis Initiative. Medical Imaging with Deep Learning, Nashville, TN, United States, 10-12 July 2023. Cambridge, MA, United States: ML Research Press.
Liu, Siyu, Liu, Linfeng, Engstrom, Craig, To, Xuan Vinh, Ge, Zongyuan, Crozier, Stuart, Nasrallah, Fatima and Chandra, Shekhar S. (2023). Style-based manifold for weakly-supervised disease characteristic discovery. MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, 8-12 October 2023. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-43904-9_36
Woo, Boyeong, Bran Lorenzanal, Marlon, Engstrom, Craig, Baresic, William, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2023). Semantic segmentation of 3D medical images through a kaleidoscope: data from the Osteoarthritis Initiative. 6th International Conference on Medical Imaging with Deep Learning (MIDL), Nashville, TN, United States, 10-12 July 2023. San Diego, CA, United States: JMLR-Journal of Machine Learning Research.
Bran Lorenzana, Marlon, Engstrom, Craig and Chandra, Shekhar S. (2022). Transformer compressed sensing via global image tokens. 2022 IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 16-19 October 2022. Piscataway, NJ, United States: IEEE. doi: 10.1109/icip46576.2022.9897630
Yu, Zhen, Nguyen, Toan, Gal, Yaniv, Ju, Lie, Chandra, Shekhar S., Zhang, Lei, Bonnington, Paul, Mar, Victoria, Wang, Zhiyong and Ge, Zongyuan (2022). Skin lesion recognition with class-hierarchy regularized hyperbolic embeddings. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, Singapore, 18-22 September 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-16437-8_57
Woo, Boyeong, Engstrom, Craig, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2022). Anomaly-aware 3D segmentation of knee magnetic resonance images. 5th International Conference on Medical Imaging with Deep Learning, Zurich, Switzerland, 6-8 July 2022. Cambridge, MA, United States: ML Research Press.
Kulatilleke, Gayan K., Portmann, Marius, Ko, Ryan and Chandra, Shekhar S. (2022). FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. 35th Australasian Joint Conference on Artificial Intelligence: AI 2022, Perth, WA Australia, 5–8 December 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22695-3_6
Liu, Xinwen, Wang, Jing, Peng, Cheng, Chandra, Shekhar S., Liu, Feng and Zhou, S. Kevin (2022). Undersampled MRI reconstruction with side information-guided normalisation. Medical Image Computing and Computer Assisted Intervention – MICCAI, Singapore, Singapore, 18-22 September 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-16446-0_31
Naranpanawa, D. Nathasha U., Gu, Yanyang, Chandra, Shekhar S., Betz-Stablein, Brigid, Sturm, Richard A., Soyer, H. Peter and Eriksson, Anders P. (2021). Slim-YOLO: a simplified object detection model for the detection of pigmented iris freckles as a potential biomarker for cutaneous melanoma. Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, Australia, 29 November - 1 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/dicta52665.2021.9647150
Dai, Wei, Woo, Boyeong, Liu, Siyu, Marques, Matthew, Tang, Fangfang, Crozier, Stuart, Engstrom, Craig and Chandra, Shekhar (2021). Can3d: Fast 3D knee mri segmentation via compact context aggregation. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 13-16 April 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/isbi48211.2021.9433784
Yu, Zhen, Mar, Victoria, Eriksson, Anders, Chandra, Shakes, Bonnington, Paul, Zhang, Lei and Ge, Zongyuan (2021). End-to-end ugly duckling sign detection for melanoma identification with transformers. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Strasbourg, France, 27 September-1 October 2021. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-87234-2_17
Liu, Xinwen, Wang, Jing, Tang, Fangfang, Chandra, Shekhar S., Liu, Feng and Crozier, Stuart (2020). Deep simultaneous optimization of sampling and reconstruction for multi-contrast MRI. ISMRM & SMRT Virtual Conference & Exhibition, 2020, Online, 8-14 August 2020.
Min, Hang, Wilson, Devin, Huang, Yinhuang, Liu, Siyu, Crozier, Stuart, Bradley, Andrew P. and Chandra, Shekhar S. (2020). Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN. 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, IA, United States, 3-7 April 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/isbi45749.2020.9098732
Marques, Matthew, Engstrom, Craig, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2020). Fast high dynamic range MRI by Contrast Enhancement Networks. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, IA, United States, 3-7 April 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/isbi45749.2020.9098373
Sun, Jiayu and Chandra, Shekhar S. (2018). SPIFFY: a simpler image viewer for medical imaging. 4th Information Technology and Mechatronics Engineering Conference (ITOEC2018), Chongqing, China, 14-16 December 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ITOEC.2018.8740656
Min, Hang, Chandra, Shekhar S., Dhungel, Neeraj, Crozier, Stuart and Bradley, Andrew P. (2017). Multi-scale mass segmentation for mammograms via cascaded random forests. 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, VIC, Australia, 18 - 21 April 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISBI.2017.7950481
Neubert, Ales, Naser, Ibrahim, Paproki, Anthony, Engstrom, Craig, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2016). Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, 13-16 April, 2016. Piscataway, United States: IEEE Operations Center. doi: 10.1109/ISBI.2016.7493406
Chandra, Shekhar S., Archchige, Ramitha, Ruben, Gary, Jin, Jin, Li, Mingyan, Kingston, Andrew M., Svalbe, Imants and Crozier, Stuart (2016). Finite radial reconstruction for magnetic resonance imaging: a theoretical study. International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, Gold Coast, QLD, Australia, 30 November-2 December 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2016.7797043
Neubert, Aleš, Fripp, Jurgen, Chandra, Shekhar S., Engstrom, Craig and Crozier, Stuart (2016). Automated intervertebral disc segmentation using probabilistic shape estimation and active shape models. Third International Workshop and Challenge, CSI 2015, Munich, Germany, 5 October 2015. Switzerland: Springer. doi: 10.1007/978-3-319-41827-8_15
Neubert, Ales, Chandra, Shekhar S., Engstrom, Craig, Fripp, Jurgen and Crozier, Stuart (2015). Shape reconstruction using EM-ICP mesh registration and robust statistical shape models. Symposium on Statistical Shape Models Applications, Delemont, Switzerland, 30 September - 2 October, 2015.
Dowling, J. A., Burdett, N., Greer, P. B., Sun, J., Parker, J., Pichler, P., Stanwell, P., Chandra, S., Rivest-Henault, D., Ghose, S., Salvado, O. and Fripp, J. (2014). Automatic atlas based electron density and structure contouring for MRI-based prostate radiation therapy on the cloud. XVII International Conference on the Use of Computers in Radiation Therapy, Melbourne, Australia, 6–9 May 2013. Bristol, United Kingdom: Institute of Physics Publishing. doi: 10.1088/1742-6596/489/1/012048
Yang, Zhengyi, Fripp, Jurgen, Engstrom, Craig, Chandra, Shekhar, Xia, Ying, Paproki, Anthony, Strudwick, Mark, Neubert, Ales and Crozier, Stuart (2014). Automatic Bone Segmentation for Shoulder {MRI} using Statistical Shape Models. 2014 – Joint Annual Meeting ISMRM-ESMRMB, 22nd Scientific Meeting and Exhibition, Milan, Italy, 10-16 May 2014. Berkeley, CA United States: International Society for Magnetic Resonance in Medicine.
Dowling, Jason, Dang, K., Fox, Chris D., Chandra, S., Gill, Suki, Kron, T., D Pham, D. and Foroudi, F. (2014). Fast cine-magnetic resonance imaging point tracking for prostate cancer radiation therapy planning. ICCR 2013: XVII International Conference on the Use of Computers in Radiation Therapy, Melbourme, VIC, Australia, 6–9 May, 2013. Temple Way, Bristol, United Kingdom: Institute of Physics Publishing. doi: 10.1088/1742-6596/489/1/012027
Svalbe, Imants, Kingston, Andrew, Guedon, Jeanpierre, Normand, Nicolas and Chandra, Shekhar S. (2013). Direct Inversion of Mojette Projections. 20th IEEE International Conference on Image Processing, ICIP 2013, Melbourne , Australia, 15 - 18 September 2013. Piscataway, NJ United States: IEEE. doi: 10.1109/ICIP.2013.6738214
Chandra, Shekhar, Xia, Yinq, Engstrom, Craig, Schwarz, Raphael, Lauer, Lars, Crozier, Stuart, Salvado, Olivier and Fripp, Jurgen (2012). Unilateral hip joint segmentation with shape priors learned from missing data. 9th IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2-5 March 2012. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISBI.2012.6235909
Xia, Ying, Chandra, Shakes, Salvado, Oliver, Fripp, Jurgen, Schwartz, Raphael, Lauer, Lars, Engstrom, Craig M. and Crozier, Stuart (2012). Automated bone segmentation and bone-cartilage interface extraction from MR images of the hip. International Society for Magnetic Resonance in Medicine, Melbourme, VIC, Australia, 5-11 May 2012.
Yang, Zhengyi, Crozier, Stuart, Engstrom, Craig, Xia, Ying, Neubert, Ales, Brancato, Tania, Schwarz, Raphael, Lauer, Lars, Fripp, Jurgen, Chandra, Shekhar and Salvado, Olivier (2012). Morphology-based interslice interpolation on manual segmentations of joint bones and muscles in MRI. 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), Fremantle, WA, Australia, 3-5 December 2012. Piscataway, NJ, United States: IEEE. doi: 10.1109/DICTA.2012.6411678
Svalbe, Imants and Chandra, Shekhar (2011). Growth of Discrete Projection Ghosts Created by Iteration. 16th International Conference on Discrete Geometry for Computer Imagery, Nancy France, 6 - 8 April 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-19867-0_34
Xia, Ying, Chandra, Shakes, Salvado, Olivier, Fripp, Jurgen, Schwarz, Raphael, Lauer, Lars, Engstrom, Craig and Crozier, Stuart (2011). Automated MR hip bone segmentation. International Conference on Digital Image Computing Techniques and Applications (DICTA), Noosa, QLD, Australia, 6-8 December 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/DICTA.2011.13
Dowling, Jason A., Fripp, Jurgen, Chandra, Shekhar, Pluim, Josien P. W., Lambert, Jonathan, Parker, Joel, Denham, James, Greer, Peter B. and Salvado, Olivier (2011). Fast automatic multi-atlas segmentation of the prostate from 3D MR images. 14th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), Toronto, Canada, 18-22 September 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-23944-1_2
Chandra, Shekhar, Dowling, Jason, Shen, Kaikai, Pluim, Josien, Greer, Peter, Salvado, Olivier and Fripp, Jurgen (2011). Automatic segmentation of the prostate in 3D magnetic resonance images using case specific deformable models. International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011, Noosa Heads, Qld., Australia, 6-8 December 2011. Piscataway, NJ, United States: I E E E. doi: 10.1109/DICTA.2011.10
Svalbe, Imants, Nazareth, Nikesh, Chandra, Shekhar and Normand, Nicolas (2010). On constructing minimal ghosts. International Conference on Digital Image Computing: Techniques and Applications, DICTA 2010, Sydney, NSW Australia, 01 - 03 December 2010. Piscataway, NJ United States: I E E E. doi: 10.1109/DICTA.2010.56
Chandra, S. and Svalbe, I. (2009). A fast number theoretic finite radon transform. Digital Image Computing: Techniques and Applications, DICTA 2009, Melbourne, VIC Australia, 1 - 3 December 2009. Piscataway, NJ United States: I E E E. doi: 10.1109/DICTA.2009.67
Chandra, Shekhar, Svalbe, Imants and Guedon, Jean-Pierre (2008). An exact, non-iterative Mojette inversion technique utilising ghosts. 14th International Conference on Discrete Geometry for Computer Imagery, Lyon, France, 16 - 18 April 2008. Heidelberg, Germany: Springer. doi: 10.1007/978-3-540-79126-3_36
Chandra, Shekhar and Svalbe, Imants (2008). A method for removing cyclic artefacts in discrete tomography using latin squares. 19th International Conference on Pattern Recognition (ICPR 2008), Tampa, Fl United States, 8 - 11 Dec 2008. Washington, DC United States: I E E E Computer Society. doi: 10.1109/ICPR.2008.4761615
Svalbe, Imants, Chandra, Shekhar, Kingston, Andrew and Guédon, Jean-Pierre (2006). Quantised angular momentum vectors and projection angle distributions for discrete radon transformations. 13th International Conference on Discrete Geometry for Computer Imagery, DGCI 2006, , , October 25, 2006-October 27, 2006. Springer Verlag. doi: 10.1007/11907350_12
Thesis
Chandra, Shekhar Suresh (2010). Circulant theory of the Radon transform. PhD Thesis, Faculty of Science, School of Physics, Monash University.
Data Collections
Naranpanawa, Nathasha, Chandra, Shekhar S. and Sturm, Richard A. (2024). Pigmented Iris Freckle Data . The University of Queensland. (Dataset) doi: 10.48610/355ad45
Woo, Boyeong , Chandra, Shekhar S. , Engstrom, Craig and Crozier, Stuart (2022). Osteoarthritis Initiative (OAI) - UQ. The University of Queensland. (Dataset) doi: 10.48610/d8e13fb