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Carneiro, Gustavo, Tavares, João Manuel R. S., Bradley, Andrew P., Papa, João Paulo, Nascimento, Jacinto C., Cardoso, Jaime S., Lu, Zhi and Belagiannis, Vasileios (2018) 1st MICCAI workshop on deep learning in medical image analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 6 3: 241-242. doi:10.1080/21681163.2018.1457242     0 0 1
2011 International Conference on Digital Image Computing Techniques and Applications (DICTA) (2011) . Edited by Andrew P. Bradley, Yaniv Gal, Paul Jackway and Olivier Salvado. International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), 6-8 December, 2011, Noosa, QLD, Australia.    
Lehmann, Stefan and Bradley, Andrew P. (2006). 3D motion estimation from three orthographic views without matching constraints or brightness gradients. In: Signals, Systems and Computers 2006 (ACSSC 2006). 40th Asilomar Conference on Signals, Systems and Computers 2006 (ACSSC 2006), Pacific Grove, California, U.S.A., (421-424). 29 October-1 November 2006. doi:10.1109/ACSSC.2006.354781     0 0 0
Dowling, Jason, Planitz, Birgit M., Maeder, Anthony J., Du, Jiang, Pham, Binh, Boyd, Colin, Chen, Shaokang, Bradley, Andrew P. and Crozier, Stuart (2008). A comparison of DCT and DWT block based watermarking on medical image quality. In: Yun Q. Shi, Hyoung-Joong Kim and Stefan Katzenbeisser, Digital Watermarking: 6th International Workshop, IWDW 2007 proceedings. 6th International Workshop on Digital Watermarking, Guangzhou, China, (454-466). 3-5 December 2007. doi:10.1007/978-3-540-92238-4_35   3 3 Cited 6 times in Scopus6 0
Brossi, Steven D. and Bradley, Andrew P. (2012). A comparison of multiple instance and group based learning. In: Geoff West and Peter Kovesi, 14th International Conference on Digital Image Computing Techniques and Applications, DICTA 2012: Proceedings. 14th International Conference on Digital Image Computing Techniques and Applications, DICTA 2012, Fremantle, WA, Australia, (1-8). 3 - 5 December 2012. doi:10.1109/DICTA.2012.6411737     0 Cited 3 times in Scopus3 0
Castner, J. E., Bradley, A. P., Chenery, H. J., Copland, D. A., Coyne, T. J., Sinclair, F., Parton, K., Wilson, S. and Wilson, W. (2005). Acquisition and analysis of intraoperative microelectrode recordings of the subthalamic nucleus during linguistic processing. In: Proceedings of the 13th World Congress of Neurological Surgery. 13th World Congress of Neurological Surgery, Marrakesh, Morocco, (). 19-24 June 2005.    
Raad, Viara Van and Bradley, Andrew P. (2002). Active Contour Model Based Segmentation of Colposcopy Images of Cervix Uteri Using Gaussian Pyramids. In: 6th International Symposium on Digital Signal Processing for Communication Systems (DSPCS'02), Sydney, Australia, (). January, 2002.   271
Bradley, Andrew P., O'Brien, Ian M. D. and Wilson, Wayne (2009). Adaptive Hearing Protection Device. PCT/AU2009/001518.    
Dhungel, Neeraj, Carneiro, Gustavo and Bradley, Andrew P. (2017) A deep learning approach for the analysis of masses in mammograms with minimal user intervention. Medical Image Analysis, 37 114-128. doi:10.1016/j.media.2017.01.009     23 Cited 32 times in Scopus32 0
Nestler, Frank, Bradley, Andrew P., Wilson, Stephen J., Timms, Daniel L., Frazier, Howard and Cohn, William E. (2014) A hybrid mock circulation loop for a total artificial heart. Artificial Organs, 38 9: 775-782. doi:10.1111/aor.12380     6 Cited 12 times in Scopus12 1
Pagnozzi, Alex M., Dowson, Nicholas, Fiori, Simona, Doecke, James, Bradley, Andrew P., Boyd, Roslyn N. and Rose, Stephen (2016) Alterations in regional shape on ipsilateral and contralateral cortex contrast in children with unilateral cerebral palsy and are predictive of multiple outcomes. Human Brain Mapping, 37 10: 3588-3603. doi:10.1002/hbm.23262     3 Cited 3 times in Scopus3 1
Fan, Yilun and Bradley, Andrew P. (2016) A method for quantitative analysis of clump thickness in cervical cytology slides. Micron, 80 73-82. doi:10.1016/j.micron.2015.09.002     4 Cited 4 times in Scopus4 0
Fan, Yilun, Gal, Yaniv and Bradley, Andrew P. (2014) An algorithm for microscopic specimen delineation and focus candidate selection. Micron, 66 51-62. doi:10.1016/j.micron.2014.05.006     3 Cited 3 times in Scopus3 0
Varghese, J., Bellette, P. A., Weegink, K. J., Bradley, A. P. and Meehan, P. A. (2014) Analysis of the non-Markov parameter in continuous-time signal processing. Physical Review E, 89 2: 022109. doi:10.1103/PhysRevE.89.022109   30 0 0 0
Hames, Samuel C., Ardigo, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tarl W. (2016). Anatomical skin segmentation in reflectance confocal microscopy with weak labels. In: 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015. International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, Adelaide, Australia, (138-145). 23-25 November 2015. doi:10.1109/DICTA.2015.7371231     0 Cited 8 times in Scopus8 0
Gal, Y., Mehnert, A., Bradley, A., McMahon, K. and Crozier, S. (2007). An evaluation of four parametric models of contrast enhancement for dynamic magnetic resonance imaging of the breast. In: A. Dittmar and J. Clark, Proceedings of the 29th Annual International Conference of the IEEE EMBS. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007), Lyon, France, (71-74). 23-26 August 2007. doi:10.1109/IEMBS.2007.4352225     7 Cited 10 times in Scopus10 0
Altinay, Doreen and Bradley, Andrew P. (2011). An evaluation of multi-resolution microscope slide scanning algorithms. In: Patrick Kellenberger, Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011). 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), Noosa Heads, Qld., Australia, (319-324). 6-8 December 2011. doi:10.1109/DICTA.2011.60     Cited 4 times in Scopus4 0
Gal, Yaniv, Mehnert, Andrew, Bradley, Andrew, McMahon, Kerry, Kennedy, Dominic and Crozier, Stuart (2008). A new denoising method for dynamic contrast-enhanced MRI. In: Engineering in Medicine and Biology Society 2008 (EMBS 2008). 30th Annual International IEEE EMBS Conference, Vancouver, B.C.,Canada, (847-850). 20-24 August 2008. doi:10.1109/IEMBS.2008.4649286     1 Cited 2 times in Scopus2 0
Lu, Zhi, Carneiro, Gustavo and Bradley, Andrew P (2015) An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells. IEEE Transactions on Image Processing, 24 4: 1261-1272. doi:10.1109/TIP.2015.2389619     40 Cited 50 times in Scopus50 0
Bradley, Andrew P. and Bamford, Pascal C. (2004). A One-Pass Extended Depth of Field Algorithm Based on the Over-Complete Discrete Wavelet Transform. In: Image and Vision Computing '04 New Zealand (IVCNZ'04), Akaroa, New Zealand, (279-284). November, 2004.   1454
Weegink, Kristian James, Bellette, Paul A., Varghese, John J., Silburn, Peter A., Meehan, Paul A. and Bradley, Andrew P. (2017) A parametric simulation of neuronal noise from microelectrode recordings. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25 1: 1-10. doi:10.1109/TNSRE.2016.2573318     1 Cited 1 times in Scopus1 0
Dzulkarnain, Ahmad Aidil Arafat, Wan Mhd Pandi, Wan Mahirah, Wilson, Wayne J., Bradley, Andrew P. and Sapian, Faizah (2014) A preliminary investigation into the use of an auditory brainstem response (ABR) simulator for training audiology students in waveform analysis. International Journal of Audiology, 53 8: 514-521. doi:10.3109/14992027.2014.897763     1 Cited 3 times in Scopus3 0
Petoe, Matthew A., Bradley, Andrew P. and Wilson, Wayne J. (2007). A system to generate patient-specific stimuli for use with the auditory brainstem response test. In: A. Dittmar and J. Clark, Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007), Lyon, France, (2452-2455). 23-26 August 2007. doi:10.1109/IEMBS.2007.4352824     0 Cited 1 times in Scopus1 0
Fan, Yilun and Bradley, Andrew P. (2016) A two-stage method to correct aberrations induced by slide slant in bright-field microscopy. Micron, 87 18-32. doi:10.1016/j.micron.2016.05.001     0 0 0
Carneiro, Gustavo, Oakden-Rayner, Luke, Bradley, Andrew P., Nascimento, Jacinto and Palmer, Lyle (2017). Automated 5-Year mortality prediction using deep learning and radiomics features from chest computed tomography. In: IEEE 14th International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro, Melbourne, Australia, (130-134). 18-21 April 2017. doi:10.1109/ISBI.2017.7950485     1 Cited 1 times in Scopus1 0
Carneiro, Gustavo, Oakden-Rayner, Luke, Bradley, Andrew P., Nascimento, Jacinto and Palmer, Lyle (2017). Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, VIC, Australia, (130-134). 18-21 April 2017. doi:10.1109/ISBI.2017.7950485     1 Cited 1 times in Scopus1 0
Bradley, A. P. and Wilson, W. J. (2004). Automated Analysis of the Auditory Brainstem Response. In: M. Palaniswami, Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference. International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP'04), Melbourne, Australia, (541-545). 14-17 December, 2004.   1982 1
Bradley, Andrew P. and Wilson, Wayne J. (2005) Automated Analysis of the Auditory Brainstem Response Using Derivative Estimation Wavelets. Audiology and Neuro-otology, 10 1 (January/February): 6-21. doi:10.1159/000081544   46 9 Cited 10 times in Scopus10 0
Carneiro, Gustavo, Nascimento, Jacinto and Bradley, Andrew P. (2017) Automated analysis of unregistered multi-view mammograms with deep learning. IEEE Transactions On Medical Imaging, 36 11: 2355-2365. doi:10.1109/TMI.2017.2751523     3 Cited 5 times in Scopus5 0
Dhungel, Neeraj, Carneiro, Gustavo and Bradley, Andrew P. (2016). Automated mass detection in mammograms using cascaded deep learning and random forests. In: 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015. International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, Adelaide, Australia, (160-167). 23-25 November 2015. doi:10.1109/DICTA.2015.7371234     0 Cited 37 times in Scopus37 0
Lu, Zhi, Carneiro, Gustov and Bradley, Andrew P. (2013). Automated nucleus and cytoplasm segmentation of overlapping cervical cells. In: Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot and Nassir Navab, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, Nagoya-shi, Japan, (452-460). 22 - 26 September 2013. doi:10.1007/978-3-642-40811-3_57     27 Cited 25 times in Scopus25 0
Pagnozzi, Alex M., Dowson, Nicholas, Doecke, James, Fiori, Simona, Bradley, Andrew P., Boyd, Roslyn N. and Rose, Stephen (2016) Automated, quantitative measures of grey and white matter lesion burden correlates with motor and cognitive function in children with unilateral cerebral palsy. NeuroImage: Clinical, 11 751-759. doi:10.1016/j.nicl.2016.05.018     7 Cited 6 times in Scopus6 1
Hames, Samuel C., Ardigò, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tarl W. (2016) Automated segmentation of skin strata in reflectance confocal microscopy depth stacks. PLoS One, 11 4: e0153208. doi:10.1371/journal.pone.0153208     5 Cited 5 times in Scopus5 3
Gal, Yaniv, Mehnert, Andrew James Heinrich, Bradley, Andrew Peter, McMahon, Kerry and Crozier, Stuart (2007). Automatic segmentation of enhancing breast tissue in dynamic contrast-enhanced MR images. In: M. J. Bottema, A. Maeder, N. Redding and A. van den Hengel, Digital Image Computing Techniques and Applications (DICTA 2007). 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007), Adelaide, Australia, (124-129). 3-5 December 2007. doi:10.1109/DICTA.2007.4426786     Cited 3 times in Scopus3 0
Bradley, Andrew P. (1999) A Wavelet Visible Difference Predictor. IEEE Transactions on Image Processing, 8 5: 717-730.   1357
Bradley, AP (1999) A wavelet visible difference predictor. Ieee Transactions On Image Processing, 8 5: 717-730. doi:10.1109/83.760338     89 Cited 114 times in Scopus114 3
Bradley, A. P. (2003). Can Region of Interest Coding Improve Overall Perceived Image Quality?. In: B. Lovell and A. Maeder, Proceedings of the APRS Workshop on Digital Image Computing. APRS Workshop on Digital Image Computing (WDIC'03), Brisbane, Australia, (41-44). 7 February, 2003.   373
Lamprecht, Marnie L., Terrill, Philip I., Parsley, Chloe L. and Bradley, Andrew P. (2014). Characterization of movements during restless sleep in children: a pilot study. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, United States, (274-277). 26-30 August 2014. doi:10.1109/EMBC.2014.6943582     0 0 0
Bradley, Andrew P., Jackway, Paul and Lovell, Brian C. (1995). Classification In Scale-Space: Applications To Texture. In: XIVth International Conference on Information Processing in Medical Imaging (IPMI), Ile de Berder, France, (375-376). .   390
Bradley, AP, Jackway, PT and Lovell, BC (1995). Classification in scale-space: Applications to texture analysis. In: Bizais, Y, Barillot, C and DiPaola, R, Information Processing in Medical Imaging. 14th International Conference on Information Processing in Medical Imaging, Ile De Berder France, (375-376). Jun, 1995.     3
Mohammed, Beadaa, Bialkowski, Konstanty, Abbosh, Amin, Mills, Paul C. and Bradley, Andrew P. (2017) Closed-form equation to estimate the dielectric properties of biological tissues as a function of age. Bioelectromagnetics, 38 6: 474-481. doi:10.1002/bem.22054     1 Cited 1 times in Scopus1 1
Bradley, Andrew P., Petoe, Matthew A. and Wilson, Wayne (2013). Cochlear Implants. 8,554,330.    
Dhungel, Neeraj, Carneiro, Gustavo and Bradley, Andrew P. (2017). Combining deep learning and structured prediction for segmenting masses in mammograms. In Deep Learning and Convolutional Neural Networks for Medical Image Computing Precision Medicine, High Performance and Large-Scale Datasets (pp. 225-240) Dordrecht, GX Netherlands: Springer . doi:10.1007/978-3-319-42999-1_13     Cited 2 times in Scopus2 0
Iyer, Kartik K., Bradley, Andrew P. and Wilson, Stephen J. (2013) Conducting shorter VEP tests to estimate visual acuity via assessment of SNR. Documenta Ophthalmologica, 126 1: 21-28. doi:10.1007/s10633-012-9355-9     4 Cited 5 times in Scopus5 0
Lehmann, S., Bradley, A.P., Clarkson, I.V.L., Williams, J. and Kootsookos, P.J. (2007) Correspondence-free determination of the affine fundamental matrix. IEEE Transactions On Pattern Analysis And Machine Intelligence, 29 1: 82-97. doi:10.1109/TPAMI.2007.250601   4 10 Cited 9 times in Scopus9 3
Bradley, Andrew P. and Lovell, Brian C. (1995). Cost-Sensitive Decision Tree Pruning: Use of the ROC Curve. In: Eighth Australian Joint Conference on Artificial Intelligence, Canberra, Australia, (1-8 / 565). November, 1995.   661
Dhungel, Neeraj, Carneiro, Gustavo and Bradley, Andrew P. (2015). Deep learning and structured prediction for the segmentation of mass in mammograms. In: Nassir Navab, Joachim Hornegger, William M. Wells and Alejandro F. Frangi, Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015. Medical Image Computing and Computer-Assisted Intervention, Munich, Germany, (605-612). 5-9 October 2015. doi:10.1007/978-3-319-24553-9_74     14 Cited 30 times in Scopus30 0
Dhungel, Neeraj, Carneiro, Gustavo and Bradley, Andrew P. (2015). Deep learning and structured prediction for the segmentation of mass in mammograms. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 (pp. 605-612) Cham, Switzerland: Springer. doi:10.1007/978-3-319-24553-9_74     14 Cited 30 times in Scopus30 0
Carneiro, Gustavo, Nascimento, Jacinto and Bradley, Andrew P. (2017). Deep learning models for classifying mammogram exams containing unregistered multi-view images and segmentation maps of lesions. In S. Kevin Zhou, Hayit Greenspan and Dinggang Shen (Ed.), Deep learning for medical image analysis (pp. 321-339) London, United Kingdom: Elsevier. doi:10.1016/B978-0-12-810408-8.00019-5     Cited 1 times in Scopus1 0
Maicas, Gabriel, Carneiro, Gustavo, Bradley, Andrew P., Nascimento, Jacinto C. and Reid, Ian (2017). Deep reinforcement learning for active breast lesion detection from DCE-MRI. In: Medical Image Computing and Computer-Assisted Intervention. International Conference on Medical Image Computing and Computer-Assisted Intervention, Quebec City, QC, Canada, (665-673). 10-14 September 2017. doi:10.1007/978-3-319-66179-7_76     Cited 3 times in Scopus3 0

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