BIOGRAPHY

RESEARCH INTEREST

R&D PROJECTS

COLLABORATIONS


TRAINING & INVITED TALKS



REVIEWER/ SUPERVISION
EXPERIENCE

PUBLICATIONS
 
Oliver Diaz
Postdoctoral Researcher
 Image Analysis Lab
Computer vision and robotics institute
University of Girona
Campus Montilivi, Edicifi P IV
17071 - Girona
Spain

Work phone: +34 669 386 374 (ext. 5424)
Email:
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Biography
I am a driven and motivated research scientist with 9 yearss international experience in medical imaging and medical physics, with special focused on breast imaging. I obtained my PhD at the Centre for Vision, Speech and Signal Processing (University of Surrey, UK), where I developed skills to study particle interactions using Monte Carlo simulations. Currently I am a Postoctoral Researcher at the Computer Vision and Robotics research institute (Universitat de Girona, Spain), where I investigate artificial intelligence algorithms to improve early breast cancer detection. I previously received the Marie Sklodowska-Curie postdoctoral individual fellowship to analyse scattered radiation in breast tomosyntheis (SCARtool). Also, as part of the EU FP7 ASSURE project, I have investigated image quality parameters in breast DCE-MRI and lesion segmentation algorithms for 3D automated breast ultrasound (ABUS). Currently I develop algorithms to improve breast cancer screening interpretation within the Spanish project SMARTER at UdG, and participate in the design of a prone biopsy table scanner using breast tomosynthesis technology (3D Bon T) and 3D organs printing algorithms (QuirofAM), as part of my part time position at the University Hospital Parc Taulí (Spain).

Research interest
  • Breast imaging technologies (X-ray mammography, DBT, Breast CT, MRI, US)
  • Monte Carlo simulations
  • Image simulation
  • Medical physics 
  • Artificial Intelligence
  • Radiomics

R&D projects
Current projects

  • ICEBERG: Image Computing for Enhancing Breast Cancer Radiomics
    • Project funded by the Spanish government (Ref. RTI2018-096333-B-I00)
    • Duration: 01/2019 - 12/2021
    • Role: Researcher
  • QuirofAM: 3D printing for the healthcare industry
    • Project funded by Comunitat RIS3CAT:  Tecnologies aplicades a la salut (Ref. COMRDI16-1-0010)
    • Duration: 01/2018-12/2020
    • Role: Researcher (Part time)
  • 3D Bon T: 3D Biopsy with tomosynthesis
    • Project funded by Comunitat RIS3CAT:  Tecnologies aplicades a la salut (Ref. COMRDI15-1-0022)
    • Duration: 07/2016-06/2020
    • Role: Researcher (Part time)
  • SMARTER: Smart Image Analysis for Screening Challenges in Breast Cancer
    • Project funded by the Spanish government (Ref. DPI2015-68442-R)
    • Duration: 01/2016 - 12/2019
    • Role: Researcher
Past projects
  • OPTIMAM 2: "Optimisation of breast cancer detection using digital X-ray technology 2"
    • Cancer Research UK (Ref. C30682/A17321 )
    • Duration:12/2013 - 12/2018
    • Role: Researcher
  • Development of new techniques for improving medical image processing and analysis
    • Project funded by University of Girona (Ref. MPCUdG2016/022)
    • Duration: 01/2016 - 12/2018
    • Role: Researcher
  • SCARtool: 'Scattered radiation reduction tool to improve computer-aided diagnosis performance in digital breast tomosynthesis'
    • H2020-MSCA-IF-2014 (Ref. 195519)
    • Duration: 09/2015-08/2017
    • Role: Marie Skłodowska-Curie Fellow / Co-PI
  • ASSURE: 'Adapting Breast Cancer Screening Strategy Using Personalised Risk Estimation'.
    • FP7-HEALTH-2012-INNOVATION project (Ref. 306088).
    • Duration: 12/2012 - 11/2015.
    • Role: Researcher
  • IA-BioBreast: 'Temporal Analysis and automatic detection of lesions in multi-modal images'.
    • Project funded by the Spanish government. (Ref. TIN2012-37171-C02-01).
    • Duration: 02/2013 -01/2016.
    • Role: Collaborator researcher.
  • OPTIMAM: 'Optimisation of breast cancer detection using digital X-ray technology'.
    • Project funded by the Cancer Research UK and the Engineering and Physical Sciences Research Council (Ref. C30682/A10350)
    • Duration: 11/2008 - 11/2013.
    • Role: Researcher

Training courses and invited talks
Selected training courses:


Invited talks and seminars:

  • Artificial Intelligence in Radiology. Hospital Parc Taulí (Spain). June 2019
  • Research activities. Winter School - Medical Imaging and Applications (MAIA). University of Cassino (Italy), February 2018 & 2019
  • Scattered radiation: compression paddles and their influence. Curso tomosintesis mama SEFM, Universidad Complutense de Madrid (Spain), March 2017.
  • Limitation of breast phantom for 2D and requirements for 3D evaluation in breast tomosynthesis. Curso tomosintesis mama SEFM, Universidad Complutense de Madrid (Spain), March 2017.
  • The power of image processing in multimodal breast imaging. Special Session on eHealth  and Networking for Advanced Cancer Detection. IEEE Black Sea Com. Technical University of Varna (Bulgaria), June 2016.
  • GEANT4 for X-ray breast imaging. National Co-ordinating Centre for the Physics of Mammography, Guildford (UK), October 2013.
  • A fast scatter field estimator for digital breast tomosynthesis. University of Massachusetts Medical School (USA), February 2012.

Reviewer / supervision experience
  • Reviewer in the following international conferences:
    • World Congress on Medical Physics & Biomedical Engineering (IUPESM 2018)
    • International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2017)
    • International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016
    • International Workshop on Breast Imaging (IWDM) 2016
    • International Conference on Biomedical Engineering and Biotechnology (ICBEB) 2014, 2015 and 2016
  • Academic panel member:
    • PhD panel member - external reviewer, Complutense University of Madrid (Spain), May 2019
    • PhD panel member - internal reviewer, University of Girona (Spain), July 2017
    • MSc panel member, Erasmus+ Master in vision and robotics, University of Girona (Spain), June 2016
    • PhD panel member - internal reviewer, University of Girona (Spain), June 2016
    • PhD panel member - external reviewer, University of Girona (Spain), January 2014
  • PhD supervised students:
    • [2017-2020] Albert Malet. 'Development and optimisation of reconstruction algorithms for breast tomosynthesis'. Codirected with Dr R Martí (UdG)
    • [2016-2019] Richa Agarwal. 'Image Analysis for Screening Challenges in Breast Cancer'. Codirected with Dr R Martí and Dr X Lladó (UdG)
  • MSc research projects' supervision:
    • [2019] Basel Alyafi. ‘GAN (Generative Adversarial Networks) for realistic data augmentation and lesion simulation in x-ray breast imaging’. Codirected with Dr Robert Martí (UdG).
    • [2019] Ama Katseena Yawson. ‘Automated Background Parenchymal Enhancement Classification in Breast DCE-MRI’. Codirected with Dr Robert Martí (UdG).
    • [2019] María Natalia Herrera Murillo. ‘Direct 3D printing from DICOM images’.  Codirected with Dr Robert Martí (UdG).
    • [2019] Ali Berrada. ‘Deep Learning for Fast Temporal Mammographic Image Registration’. Codirected with Dr Robert Martí (UdG).
    • [2019] Zafar Toshpulatov. ‘DeepDraw! Developing a web application for medical image annotation and analysis’. Codirected with Dr Robert Martí (UdG).
    • [2018] Irene Bartolomé. 'Evaluación de la dosis glandular promedio y la calidad de imagen de un sistema de tomosíntesis digital esterotáxico de mesa prona'. Codirected with Dr M Chevalier and Dr M Castillo (UCM)
    • [2018] Anissa Lintang Ramadhani. 'DBT density: Comparison of local breast density maps from mammogrpahy and breast tomosynthesis'. Codirected with Dr R Martí (UdG)
    • [2018] María del Carmen Moreno Genis. 'False positive reduction for lesion detection in breast mammography based on two-views lesion correspondence strategy'. Codirected with Dr R Martí (UdG)
    • [2016 ] Richa Agarwal. 'A semi automatic tool for breast lesion segmentation in 3D-ABUS volumes'. Codirected with Dr R Martí (UdG)

Research collaborations
Current and past collaborations include:

Publications
Journal Publications:

(13) E. García, Y. Diez, O. Diaz, X. Lladó, A. Gubern-Mérida, R. Martí, J. Martí, A. Oliver (2019). 'Breast MRI and X-ray mammography registration using gradient values'. Medical Image Analysis 54: 76-87. DOI: 10.1016/j.media.2019.02.013  [IF 8.880, Q1(5/133) CSAI]
(12) R. Agarwal, O. Diaz, X. Llado, Moi Hoon Yap, R. Martí (2019). 'Automatic mass detection in mammograms using deep convolutional neural networks'. Journal of Medical Imaging 6(3): 031409. DOI: 10.1117/1.JMI.6.3.031409 
(11) C. Fedon, C. Rabin, M. Caballo, O. Diaz, E. Garcia, A. Rodriguez-Ruiz, G. Gonzalez-Sprinberg, I. Sechopoulos (2018). 'Monte Carlo study on optimal breast voxel resolution for dosimetry estimates in digital breast tomosynthesis'. Physics in Medicine and Biology, 64(1): 015003. DOI: 10.1088/1361-6560/aaf453 [IF 3.030, Q2(39/129) RNMMI]
(10) E. García, Y. Diez, O.Diaz, X. Lladó, A. Gubern-Mérida, R. Martí, J.Marti and A.Oliver (2018). 'Multimodal breast parenchymal patterns correlation using a patient-specific biomechanical model'. IEEE Transactions on Medical Imaging, 37 (3): 712-723. DOI: 10.1109/TMI.2017.2749685 [IF 7.816, Q1(9/105) CSIA]
(9) R. Agarwal, O. Diaz, X. Llado, A. Gubern-Mérida, J. Vilanova and R. Martí. (2018) 'Lesion segmentation in automated 3D breast ultrasound: volumetric analysis'. Ultrasonic Imaging, 40 (2): 97-112. DOI: 10.1177/0161734617737733 [IF 2.490, Q2 Acoustics (9/31)]
(8) E.García, Y.Diez, O.Diaz, X.Lladó, R.Martí, J.Martí and A.Oliver (2018). 'A step-by-step review on patient-specific biomechanical finite elements models for breast MRI to X-ray mammography registration'. Medical Physics, 45(1): e6-e31. DOI: 10.1002/mp.12673 [IF 3.177, Q2(35/129) RNMMI]
(7) E. García, O. Diaz, R. Martí, Y. Diez, A. Gubern-Mérida, M. Sentís, J. Martí, and A. Oliver (2017). 'Local breast density assessment using reacquired mammographic images'. European Journal of Radiology 93: 121-127. DOI: 10.1016/j.ejrad.2017.05.033 [IF 2.593, Q2(45/126) RNMMI]
(6)
 A. Mackenzie, D.R. Dance, O. Diaz and K.C. Young (2014). ’Image simulation and a model of noise power spectra across a range of mammographic beam qualities’. Medical Physics, 41, 121901. DOI:10.1118/1.4900819 [IF 3.012, Q1(25/122) RNMMI]
(5)
 O. Diaz, D.R. Dance, K.C. Young, P. Elangovan, P.R. Bakic and K. Wells (2014). ’Estimation of scattered radiation in digital breast tomosynthesis’. Physics in Medicine and Biology 59 (15): 4375-4390. DOI: 10.1088/0031-9155/59/15/4375 [IF 2.922, Q1 (26/122) RNMMI]
(4)
 P. Elangovan, L. Warren, A. Mackenzie, A. Rashidnasab, O. Diaz, D.R. Dance, K.C. Young, H. Bosmans, C. Strudley, K. Wells (2014). ’Development and validation of a modelling framework for simulating 2D-mammography and breast tomosynthesis images’. Physics in Medicine and Biology 59 (15): 4275. DOI: 10.1088/0031-9155/59/15/4275 [IF 2.922, Q1 (26/122) RNMMI]
(3)
 R. W. Bouwman, O. Diaz, R.E. van Engen, K.C. Young, G.J. den Heeten, M.J.M Broeders, W.J.H. Veldkamp and D.R. Dance (2013). 'Phantoms for quality control procedures in digital breast tomosynthesis: dose assessment'. Physics in Medicine and Biology 58 (13): 4423-4438. DOI: 10.1088/0031-9155/58/13/4423 [IF 2.922, Q1 (26/122) RNMMI]
(2)
 A. Rashidnasab, P. Elangovan, M. Yip, O. Diaz, D. R. Dance, K.C. Young and K. Wells (2013). 'Simulation and assessment of realistic breast lesions using fractal growth models'. Physics in Medicine and Biology 58 (16): 5613-5627. DOI: 10.1088/0031-9155/58/16/5613 [IF 2.922, Q1 (26/122) RNMMI]
(1)
 D. Rodriguez Gutierrez, K. Wells, O. Diaz Montesdeoca, A. Moran Santana, I. A. Mendichovszky and I. Gordon (2010). 'Partial volume effects in dynamic contrast magnetic resonance renal studies'. European Journal of Radiology 75(2): 221-229. DOI: 10.1016/j.ejrad.2009.04.073  [IF 2.941, Q2 (30/113) RNMMI]


Abstracts and peer-review conference articles:

(41) C. Fedon, M. Caballo, O. Diaz, I. Sechopoulos. 'Fibroglandular tissue distribution in compressed breasts for a new breast dosimetry model'. Accepted for presentation at International Symposium on Standards, Applications and Quality Assurance in Medical Radiation Dosimetry (IDOS 2019), Vienna, Austria, 18-21 June 2019.
(40) O. Diaz, P. Elangovan, D.R. Dance, K. Wells, K.C. Young (2019). Can breast models be simplified to estimate scattered radiation in breast tomosythesis? Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging: 109485J; doi: 10.1117/12.2512287  
(39) P. Elangovan, A. Mackenzie, D.R. Dance, K. Wells, O. Diaz, L. M. Warren, K. C. Young (2019). 'Validation of modelling tools for simulating wide-angle DBT systems'. Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging 109482E; doi: 10.1117/12.2512225
(38) O. Diaz (2018). 'Breast compression framework for simulating MG and DBT in virtual clinical trials'. 2nd Workshop on Virtual Clinical Trials. July 2018, Atlanta, USA. (agenda)
(37) R. Agarwal, O. Diaz, X. Lladó, R. Marti (2018). 'Mass detection in mammograms using pre-trained deep learning models'. Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018): 107181F; doi: 10.1117/12.2317681 
(36) M. Chevalier, C. Viloria, P. Squair, M.S. Nogueira, O. Diaz (2018). 'Digital breast tomosynthesis: impact of a new beam quality on dose to patients'. Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018): 107181M; doi: 10.1117/12.2317689
(35) E. García, A. Oliver, O. Diaz, Y. Díez, A. Gubern-Mérida, J. Martí, R. Martí (2018). 'Changes in breast density over time using automatic density measures: preliminary analysis'. Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018): 107181I; doi: 10.1117/12.2317912 
(34) A. Malet, D. Garcia-Pinto, J. Fernandez, R. Marti, O. Diaz. 'Breast Tomosynthesis reconstruction using software tool TIGRE' (2018). Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018): 107181L; doi: 10.1117/12.2317933 
(33) G. Trovini, C. Napoli, R. Marti, A. Martin, A. Bria, C. Marrocco, M. Molinara, F. Tortorella, O. Diaz (2018) 'A deep learning framework for micro-calcification detection in 2D mammography and C-view'. Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018): 1071811; doi: 10.1117/12.2318023
 (32) I. Bartolome, M. Castillo, O. Diaz, M. Chevalier (2018). 'Estudio de la calidad de imagen de un sistema esterotáxico por tomosíntesis de mama'. II Jornades RSEF/IFIMED de Física Médica, Universidad Complutense de Madrid, Madrid, Spain (book of abstracts)
(31) R. Martí, J.C. Vilanova, E. Pérez, M. Sentís, O.Diaz (2018). 'SMARTER: análisis de imágenes para la mejora del diagnóstico del cáncer de mama '. Congreso Nacional Sociedad Española de Radiología Médica (SERAM). May 2018, Pamplona, Spain
(30) A. Malet, M. Sentís, J. Fernández, O. Diaz (2018). 'Algoritmos de reconstrucción de imagen para biopsia prono de mama por Tomosíntesis 3D (3D Bon T). Congreso Nacional Sociedad Española de Radiología Médica (SERAM). May 2018, Pamplona, Spain
(29) R. Agarwal, O. Diaz, X. Lladó, A. Gubern Mérida, J.C. Vilanova, R. Martí (2018). 'Segmentación semiautomática en ecografía mamaria automatizada (ABUS)'. Congreso Nacional Sociedad Española de Radiología Médica (SERAM). May 2018, Pamplona, Spain
(28) O. Diaz, A. Gubern-Merida, S. Diekmann, R. Mann, R. Martí (2018). 'Clasificación automática del realce parenquimatoso de fondo (BPE) en DCE-MRI'. Congreso Nacional Sociedad Española de Radiología Médica (SERAM). May 2018, Pamplona, Spain
(27) S. Kazemi, O. Diaz, P. Elangovan, K. Wells and A. Lohstroh (2018). 'Validation and Application of a New Image Reconstruction Software tool (TIGRE) for Breast Cone-Beam Computed Tomography'. Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging: 105735E. DOI: 10.1117/12.2293200
(26) S. Kazemi, O. Diaz, P. Elangovan, K. Wells and A. Lohstroh (2018). 'Comparison of Breast Cone-Beam Computed Tomography, 2D Mammography and Digital Breast Tomosynthesis Imaging Modalities, using  4-Alternative Forced Choice Human Observation Study'. Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging: 105735I. DOI: 10.1117/12.2293201.
(25) E. García, A. Oliver, Y. Díez, O. Diaz, X. Llado, R. Martí and J. Marti (2017). 'Similarity metrics for intensity-based registration using breast density maps'. In Pattern Recognition and Image Analysis, LNCS vol. 10255, pp. 217-225. DOI: 10.1007/978-3-319-58838-4_24
(24) R. Agarwal , O. Diaz, Y. Diez, A. Gubern-Mérida, J. C. Vilanova and R. Martí (2017). 'A clinical tool for temporal analysis in 3D automated breast ultrasound'. Presented at the European Congress of Radiology (ECR). Vienna, March 1-5, 2017. Presentation
(23) O. Dı́az, E. Garcı́a, A. Oliver, J. Martı́ and R. Martı́ (2017). 'Scattered radiation in DBT geometries with flexible breast compression paddles: a Monte Carlo simulation study'. Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101324G. DOI: 10.1117/12.2255722
(22) E. Marimon, H. Nait-Charif, A. Khan, P. A. Marsden and O. Diaz (2017). 'Scatter reduction for grid-less mammography using the convolution-based image post-processing technique'. Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101324D. DOI: 10.1117/12.2255558
(21) E. Garcı́a, A. Oliver, O. Diaz, Y. Diez,  R. Martı́ and J. Martı́ (2017). 'Mapping 3D breast lesions from full-field digital mammograms using subject-specific finite element models'. Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 1013504. DOI: 10.1117/12.2255957
(20)
 O. Diaz, A. Oliver, S. Ganau, E. García, J. Martí, M. Sentís and R. Martí (2016). 'Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures'. In chapter Breast Imaging, Lectures Notes in Computer Science 9699, pp 446-453. DOI: 10.1007/978-3-319-41546-8_56
(19)
 E. Marimon, H. Nait-Charif, A. Khan, P.A. Marsden and O. Diaz (2016). 'Detailed Analysis of Scatter Contribution from Different Simulated Geometries of X-ray Detectors'. In chapter Breast Imaging, Lectures Notes in Computer Science 9699, pp 203-210. DOI: 10.1007/978-3-319-41546-8_27
(18)
 E. García, A. Oliver, Y. Diez, O. Diaz, A.Gubern-Mérida, X. Lladó and J. Martí (2016). 'Comparison of Four Breast Tissue Segmentation Algorithms for Multi-modal MRI to X-ray Mammography Registration'. In chapter Breast Imaging, Lectures Notes in Computer Science 9699, pp 493-500. DOI: 10.1007/978-3-319-41546-8_62
(17)
 O. Díaz, R. Agarwal, A. Gubern-Mérida, J. van Zelst, Y. Díez and R. Martí (2016). 'Automated volumetric lesion quantification in automated 3D breast ultrasound: comparison of 5 breast lesion segmentation algorithms'. Insights Imaging (2016) 7 (Suppl 1): S407, European Congress of Radiology (ECR) 2016. DOI:  10.1007/s13244-016-0475-8
(16)
 Y. Díez A. Maroto, O. Díaz, A. Gubern-Mérida and R. Martí (2016). 'A study of rigid methods for ABUS temporal studies'. European Congress of Radiology (ECR) 2016 DOI: 10.1594/ecr2016/C-0532
(15)
  E. García, A. Oliver, Y. Díez, O. Diaz, J. Georgii, R. Martí and J. Martí (2015). 'Comparing regional breast density using Full-Field Mammograms and Magnetic Resonance Imaging: A preleminary study'. MICCAI-BIA 2015, Proceeding of the 3rd MICCAI Workshop on Breast Image Analysis, 33-40.  Link
(14)
 L. Wang, A. Gubern-Mérida, O. Diaz, Y. Diez, R. Mann, S. Diekmann, F. Zöhrer, H. Laue and J. Schwaab (2015). 'Automated assessment of motion in breast MRI to assess study quality and prevent unnecessary call-backs'. Presented at European Congress of Radiology (ECR), Poster C-1845. doi: 10.1594/ecr2015/C-1845
(13)
 O. Diaz, P. Elangovan, S. Enshaeifar, P. Seller, S. Pani and K. Wells (2013). 'Breast CT image simulation framework for optimisation for lesion visualisation'. Accepted for IEEE Nuclear Seience Symposium and Medical Imaging Conference Record (NSS/MIC), Seoul, South Korea, October 2013. doi: 10.1109/NSSMIC.2013.6829158
(12)
 A. Rashidnasab, P. Elangovan, O. Diaz, A. Mackenzie, K.C. Young, D.R. Dance and K. Wells (2013). 'Simulation of 3D DLA masses in digital breast tomosynthesis'. In Proc. of SPIE Medical Imaging 8668, 86680Y-1-9. doi:10.1117/12.2008333
(11)
 M. Esposito, T. Anaxagoras, O. Diaz, K. Wells and N. M. Allinson (2012). 'Radiation Hardness of a Large Area CMOS Active Pixel Sensor for Bio-medical applications'. In IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC), N14-183, pp 1300-1304. doi:10.1109/NSSMIC.2012.6551318
(10)
  K. Saha, O. Diaz and S.J. Glick (2012). 'Simulation of a monolithic scintillator based PET detector'. In IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC), M16-21.
(9)
 R. Bouwman, O. Diaz, K.C. Young, R. van  Engen , W. Veldkamp, D.R. Dance (2012). 'Phantoms for quality control procedures of digital breast tomosynthesis'. IWDM 2012, Lecture Notes in Computer Science 7361, pp 322-329. doi:10.1007/978-3-642-31271-7_42
(8)
 P. Elangovan, A. Mackenzie, O. Diaz, A. Rashidnasab, D.R. Dance, K.C. Young, L. M. Warren, E. Shaheen, H. Bosmans, P.R. Bakic, K. Wells (2012). 'A Modelling Framework for Evaluation of 2D-Mammography and Breast Tomosynthesis systems'. IWDM 2012, Lecture Notes in Computer Science 7361, pp 338-345. doi:10.1007/978-3-642-31271-7_44
(7)
 A. Mackenzie, D.R. Dance, O. Diaz, A. Barnard, K.C. Young (2012). 'Converting One Set of Mammograms to Simulate a Range of Detector Imaging Characteristics for Observer Studies'. IWDM 2012, Lecture Notes in Computer Science 7361, pp 394-401. doi:10.1007/978-3-642-31271-7_51
(6)
 O. Diaz, D.R. Dance, K.C. Young, P. Elangovan, P.R. Bakic and K. Wells (2012). 'A fast scatter field estimator for digital breast tomosynthesis'. In Proc. SPIE Medical Imaging 8313, 831305. doi:10.1117/12.911494
(5)
 A. Rashidnasab, P. Elangovan, D.R. Dance, K.C. Young, M. Yip, O. Diaz and K. Wells (2012). 'Realistic simulation of breast mass appearance using random walk'. In Proc. SPIE Medical Imaging 8313, 83130L. doi:10.1117/12.911641
(4)
 A. Rashidnasab, P. Elangovan, D.R. Dance, K.C. Young, O. Diaz and K. Wells (2012). 'Modelling realistic breast lesions using diffusion limited aggregation'.  In Proc. Medical Imaging SPIE 8313, 83134L. doi:10.1117/12.911512
(3)
 O. Diaz, M. Yip, J. Cabello, D. R. Dance, K.C. Young and K. Wells (2010). 'Monte Carlo simulation of scatter field for calculation of contrast of discs in synthetic CDMAM images'. IWDM 2010, Lecture Notes in Computer Science 6136, pp 628-635. doi:10.1007/978-3-642-13666-5_85
(2)
 D. Rodriguez Gutierrez, O. Diaz Montesdeoca, A. Moran Santana, K.Wells, J. Cabello, I. A. Mendichovszky, I. Gordon (2007). 'MR-Based renography as a replacement for radionuclide diagnostic renography studies'. In Nuclear Science Symposium Conference Record, 2007; 6: 4556-4563. doi:10.1109/NSSMIC.2007.4437125
(1)
 D. Rodriguez Gutierrez, O. Diaz Montesdeoca, K. Wells, I. Mendichovszky, and I. Gordon (Aug 2006). 'Partial volume correction for MR renography studies'. In British Chapter of the International Society for Magnetic Resonance Imaging annual meeting


Ph.D. thesis

O. Diaz Montesdeoca. ' Scattered radiation in projection X-ray mammography and digital breast tomosynthesis'. University of Surrey (UK), 2013. Link.




Last update on July 2019



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