Publications

2021  2020   2019    2018    2017    2016    2015    2014    2013 and Prior

2021

  1. Qi X, Nosher JL, Foran DJ, Hacihaliloglu I. Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray Images. arXiv preprint arXiv:2104.01617. 2021 MICCAI Machine Learning in Medical Imaging (MLMI 2021) workshop, September 27-October 1, Strasbourg, France. Virtual due to Covid-19. CODE and DATA
  2. Che H, Ramanathan S, Foran D, Nosher JL, Patel VM, Hacihaliloglu I. Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease. 2021 MICCAI-International Workshop of Advances in Simplifying Medical UltraSound (ASMUS2021), September 27-October 1, Strasbourg, France. Virtual due to Covid-19.
  3. Che H, Radbel J, Sunderram J, Nosher JL, Patel VM, Hacihaliloglu I. Multi-Feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data. 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021. Virtual due to Covid-19.
  4. Valanarasu JM, Oza P, Hacihaliloglu I, Patel VM. Medical transformer: Gated axial-attention for medical image segmentation. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 27-October 1, Strasbourg, France. Virtual due to Covid-19.. CODE
  5. Che H., Brown LG, Foran DJ, Nosher JL, Hacihaliloglu, I. Liver Disease Classification from Ultrasound Using Multi-Scale CNN, International Journal of Computer Assisted Radiology and Surgery, May 20,2021 [Accepted]. CODE
  6. Kimbowa A.B., Imanirakiza S., Katumba A., Nosher J.L., Hacihaliloglu I. Time-Aware Deep Neural Networks for Needle Tip Localization in 2D Ultrasound, International Journal of Computer Assisted Radiology and Surgery, March 2021. This work will be presented at the 2021 IPCAI meeting which will be held June 22-23, 2021 in Munich, Germany.
  7. Qi X, Brown LG, Foran DJ, Nosher J, Hacihaliloglu I. Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network. International journal of computer assisted radiology and surgery. 2021 Feb;16(2):197-206. CODE and DATA

 

2020

  1. Patel H., Hacihaliloglu I. Improved Automatic Bone Segmentation Using Large-Scale Simulated Ultrasound Data to Segment Real Ultrasound Bone Surface Data. The 20th IEEE International Conference on BioInformatics And BioEngineering Conference, October 26-28,2020, USA.
  2. Hacihaliloglu I., Balica A. A Method of Improving Representation of Endometriosis Ultrasound Data By Using Local Phase Tissue Signatures. 49th AAGL Virtual Global Congress on Minimally Invasive Gynecology, Nov 06-14, 2020. [Accepted Aug 2020]
  3. Zheng X, Vives M, Hacihaliloglu I. Hierarchical 3-D Registration of Computed Tomography to Ultrasound Using Reinforcement Learning. Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), 2020.
  4. Alsinan A, Rule C, Vive M, Patel VM, Hacihaliloglu I. GAN-based Realistic Bone Ultrasound Image and Label Synthesis for Improved Segmentation. In Medical Image Computing and Computer Assisted Interventions (MICCAI) 2020.
  5. Jose JM, Sindagi V, Hacihaliloglu I, Patel VM. KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations. In Medical Image Computing and Computer Assisted Interventions (MICCAI) 2020. [Code/Project-website]
  6. Wang P, Vives M, Patel VM, Hacihaliloglu I. Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition. In Medical Image Computing and Computer Assisted Interventions (MICCAI) 2020. [Early Accept]
  7. Yasarla R, Wang P, Hacihaliloglu I, Patel VM. Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data.IEEE Journal of Selected Topics in Signal Processing. May, 2020. [Accepted]
  8. Alsinan AZ, Patel VM, Hacihaliloglu I. Bone Shadow Segmentation from Ultrasound Data for Orthopedic Surgery Using GAN. International journal of computer assisted radiology and surgery. This work will be presentd at the 2020 IPCAI meeting which will be held in Munich, Germany.
  9. Wang P, Vives M., Patel VM, Hacihaliloglu I. Robust Real-time Bone Surfaces Segmentation from Ultrasound Using a Local Phase Tensor Guided CNN. International journal of computer assisted radiology and surgery. This work will be presentd at the 2020 IPCAI meeting which will be held in Munich, Germany.

 

2019

  1. Mwikirize C.,Nosher JL, Hacihaliloglu I. Single Shot Needle Tip Localization in 2D Ultrasound. In Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019. [Early Acceptance].
  2. Ren, J., Hacihaliloglu, I., Singer, E., Foran, D., and Xin, Q. Unsupervised domain adaptation for classification of histopathology whole-slide images. In Frontiers in Bioengineering and Biotechnology, section Bioinformatics and Computational Biology, April, 2019.
  3. Pandey P., Patel H., Guy P., Hacihaliloglu I., Hodgson AJ. Preliminary Planning for a Multi-institutional Database for Ultrasound Bone Segmentation, Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 19-22, NYC, USA..
  4. Qi X., Vives M., Hacihaliloglu I. Ultrasound Guided Pedicle Screw Entry Point Identification for Spinal Fusion Surgery. 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 19-22, NYC, USA.
  5. Alsinan A., Vives M., Patel VM, Hacihaliloglu I. Spine Surface Segmentation from Ultrasound Using Multi-feature Guided CNN. 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 19-22, NYC, USA.
  6. Pandey P., Patel H., Hacihaliloglu I., Hodgson A. Preliminary Planning for a Multi-institutional Database for Ultrasound Bone Segmentation. 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 19-22, NYC, USA.
  7. Desai P., Hacihaliloglu I. Knee cartilage segmentation and thickness measurement from 2D ultrasound, Journal of Imaging, March 26, 2019, Accepted.
  8. Mwikirize C.,Nosher JL, Hacihaliloglu I. Learning needle tip localization from digital subtraction in 2D ultrasound, International Journal of Computer Assisted Radiology and Surgery, March 25: 1-10, 2019. This work will be presented at the 2019 IPCAI conference.
  9. Alsinan AZ, Patel VM, Hacihaliloglu I. Automatic segmentation of bone surfaces from ultrasound using a filter-layer-guided CNN. International journal of computer assisted radiology and surgery. 2019 Mar 13:1-9.
  10. Ninua N.*, Hooda P.*, Lefever D.*, Makris H.*, Hacihaliloglu I. Point of Care Ultrasound for Spine Imaging in Space Explorations. In 45th Annual Northeast Bioengineering Conference (NEBEC), 20-22 March, 2019. *Equal contributions.
  11. Patel H., Hacihaliloglu I.  Inter-user Variability Analysis for Manual Bone Surface Segmentation from Ultrasound Data. In 45th Annual Northeast Bioengineering Conference (NEBEC), 20-22 March, 2019.
  12. Che H., Nosher JL, Hacihaliloglu I. Liver Classification Based on SVM for Ultrasound Images.  In 45th Annual Northeast Bioengineering Conference (NEBEC), 20-22 March, 2019.

 

2018

  1. Hacihaliloglu I. 3D Ultrasound for Orthopaedic Interventions, In Intelligent Orthopaedics: Artificial Intelligence and Smart Image-guided Technology for Orthopaedics, Ed. Guoyan Zheng and Wei Tan. Springer 2018
  2. Wang P., Vishal M.P., Hacihaliloglu I. Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN. In Medical Image Computing and Computer-Assisted Intervention (MICCAI), Granada-Spain, 2018. CODE
  3. Ren J., Hacihaliloglu I., Singer E.A., Foran J.D., Xin Q. Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images. In Medical Image Computing and Computer-Assisted Intervention (MICCAI), Granada-Spain, 2018.
  4. Qi X., Vora N., Riera L., Sarangi A., Youssef G., Vives M., Hacihaliloglu I. Automatic Scan Plane Identification from 2D Ultrasound for Pedicle Screw Guidance. 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 6-9, Beijing, China.
  5. Chakravarthy, M., Cuccolo, N., Tyagi, R., and Hacihaliloglu, I. (2018). Fully automated method for the enhancement of ventricles from us data. In 44rd Annual Northeast Bioengineering Conference (NEBEC).
  6. Bhayani, N., Sarangi, A., and Hacihaliloglu, I. (2018). A graphical user interface for enhancement and localization of spine bone surfaces. In 44rd Annual Northeast Bioengineering Conference (NEBEC).
  7. Mwikirize C, Nosher JL, Hacihaliloglu I. Convolutional Neural Networks for Real-Time Needle Detection and Localization in 2D Ultrasound. International journal of computer assisted radiology and surgery. 2018 March. This work will be presented at The 9th International Conference on Information Processing in Computer-Assisted Interventions (IPCA) which will be held in Berlin, Germany, June 20-21, 2018.
  8. Mwikirize C, Nosher JL, Hacihaliloglu I. Signal attenuation maps for needle enhancement and localization in 2D ultrasound. International journal of computer assisted radiology and surgery. 2018 Jan 2:1-12.
  9. Prajna D., Hacihaliloglu I., Enhancement and Automated Segmentation of Ultrasound Knee Cartilage for Early Diagnosis of Knee Osteoarthritis. 2018 IEEE ISBI Conference, Washington, DC, USA.
  10. Wang P., Cuccolo N.G., Tyagi R., Hacihaliloglu I., Patel, V.M., Automatic Real-time CNN-based Neonatal Brain Ventricle Segmentation. 2018 IEEE ISBI Conference, Washington, DC, USA.

2017

  1. Hacihaliloglu, I., Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps. 2017 MICCAI Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging (MSKI), Quebec City-Canada.

  2. Mwikirize C., Nosher J.L., Hacihaliloglu I., Local Phase-based Learning for Needle Detection and Localization in 3D Ultrasound. 2017 MICCAI Workshop on Clinical Image-Based Procedures (CLIP), Quebec City-Canada. [Best paper award]

  3. Hacihaliloglu I. Ultrasound Imaging and Segmentation of Bone Surfaces: A Review. Technology Journal. May 08, 2017. Accepted.

  4. Hacihaliloglu I. Enhancement of bone shadow region using local phase-based ultrasound transmission maps. International Journal of Computer Assisted Radiology and Surgery. 2017 Mar 11:1-10.

  5. Alsinan Z, Cieslak M, He P, Rupertus N, Spinelli C, Vives M, Hacihaliloglu I. Ultrasound transmission maps for enhancement of spine bone shadow region from extended field of view ultrasound data. Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 14-17, 2017, Aachen, Germany. [Second place for best technical paper award]

  6. Battikha R., Cuccolo N., Tyagi R., Hacihaliloglu I. Automatic segmentation of ventricles from 2D neonatal ultrasound data. 43rd Annual Northeast Bioengineering Conference, March 31- April 2, 2017, Newark, NJ, USA. [Outstanding research poster award]

  7. Cuccolo N., Tyagi R., and Hacihaliloglu I. Enhanced 2d computational ultrasound for neonatal brain imaging. In 2017 American Association of Neurological Surgeons (AANS) Annual Scientific Meeting in Neurosurgery, April 22-26, 2017, Los Angeles, CA, USA.

  8. Ghafurian S, Hacihaliloglu I, Metaxas DN, Tan V, Li K. 3D/2D Image Registration Method for Joint Motion Analysis Using Low-Quality Images from Mini C-Arm Machines. InSPIE Medical Imaging 2017 Mar 3 (pp. 101350B-101350B). International Society for Optics and Photonics.

2016

  1. Cuccolo N., Tyagi R., and Hacihaliloglu I. Enhancement of neonatal brain ultrasound images using relative total variation. In 45th Annual Meeting of the AANS/CNS Section on Pediatric Neurological Surgery, December 5-8,2016, Orlando, FL, USA.

  2. Lim M, Hacihaliloglu I. Structure-enhanced local phase filtering using L0 gradient minimization for efficient semiautomated knee magnetic resonance imaging segmentation. Journal of Medical Imaging. 2016 Oct 1;3(4):044503-.

  3. Cuccolo N., Tyagi R., Hacihaliloglu I., Enhancement of Neonatal Brain Ultrasound Images Using Relative Total Variation. 45th Annual Meeting of the AANS/CNS Section on Pediatric Neurological Surgery, Orlando, Florida, Dec. 5-8, 2016.

  4. Mwikirize C., Nosher J.L., Hacihaliloglu I., Enhancement of needle tip and shaft from 2d ultrasound using signal transmission maps. In Medical Image Computing and Computer- Assisted Intervention (MICCAI), Athens, Greece, 2016, pp 362-369.

  5. Ghafurian S, Hacihaliloglu I, Metaxas DN, Tan V, Li K. A computationally efficient 3D/2D registration method based on image gradient direction probability density function. Neurocomputing. 2017 Mar 15;229:100-108.

  6. Dalal A., Quinn P., Sherban J., Hacihaliloglu I., Enhancement of extended field of view ultrasound volumes for spine deformity imaging, Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 8-11, 2016, Osaka, Japan.

  7. Lim M, Hacihaliloglu I. Segmentation of knee MRI using structure enhanced local phase filtering. InSPIE Medical Imaging 2016 Mar 24 (pp. 97853B-97853B). International Society for Optics and Photonics.

2015

  1. Brounstein A., Hacihaliloglu I., Guy P., Hodgson A., Abugharbieh R. Fast and Accurate Data Extraction for Near Real-Time Registration of 3D Ultrasound and CT in Orthopaedic Surgery, Ultrasound in Medicine and Biology (UMB), 2015, 41(12):3194-204.

  2. Naser M., Gatt C.J., Hacihaliloglu I. Enhancement of Bone Surfaces in Ultrasound Images for Femoroacetabular Impingement Surgery, 2015 Biomedical Engineering Society Meeting, October 7-10, 2015, Tampa, Florida, US, (Abstract).

  3. Nagpal S, Abolmaesumi P, Rasoulian A, Hacihaliloglu I, Ungi T, Osborn J, Lessoway VA, Rudan J, Jaeger M, Rohling RN, Borschneck DP, Mousavi P. A multi-vertebrae CT to US registration of the lumbar spine in clinical data, International Journal of Computer Assisted Radiology and Surgery (IJCARS),2015, 10(9):1371-81.

  4. Hacihaliloglu, Ng G., R.N. Rohling, S. Salcudean, P. Abolmaesumi. Projection-Based Phase Features for Localization of a Needle Tip in 2D Curvilinear Ultrasound, Medical Image Computing and Computer Assisted Intervention (MICCAI), Munich, Germany, 2015, Volume 9349 of the series Lecture Notes in Computer Science pp 347-354.

  5. E.M. Abu Anas, A. Seitel, A. Rasoulian, P. St. John, D. Pichora, K. Darras, D. Wilson, V. A. Lessoway, I. Hacihaliloglu, P. Mousavi, R. Rohling, P. Abolmaesumi. "Bone enhancement in ultrasound using local spectrum variations for guiding percutaneous scaphoid fracture fixation procedures", International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2015, 10(6):959-69.

  6. E.M. Abu Anas, A. Seitel, A. Rasoulian, P. St. John, D. Pichora, K. Darras, D. Wilson, V. A. Lessoway, I. Hacihaliloglu, P. Mousavi, R. Rohling, P. Abolmaesumi. "Feasibility of statistical model registration to ultrasound for guidance in scaphoid fracture fixation", Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 17-20, 2015, Vancouver, Canada, [Extended Oral Presentation].

  7. I. Hacihaliloglu, R.N. Rohling, P. Abolmaesumi. "Enhancement of spine bone surfaces from ultrasound data using improved local phase tensor filter", Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 17-20, 2015, Vancouver, Canada, [Extended Oral Presentation].

  8. E.M. Abu Anas, A. Seitel, A. Rasoulian, P. St. John, D. Pichora, K. Darras, D. Wilson, V. A. Lessoway, I. Hacihaliloglu, P. Mousavi, R. Rohling, P. Abolmaesumi. "Bone enhancement in ultrasound using local spectrum variations for guiding percutaneous scaphoid fracture fixation procedures", International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona, Spain, June 24, 2015, [Accepted].

  9. I. Hacihaliloglu, P. Guy, A.J. Hodgson, R. Abugharbieh. Automatic extraction of bone surfaces from 3D Ultrasound images in orthopaedic trauma cases, International Journal of Computer Assisted Radiology and Surgery (IJCARS),2015, 10(8):1279-87.

  10. E.M Abu Anas, A. R., P. St. John, D. Pichora, P. Mousavi, V.Lessoway, A. Seitel, I. Hacihaliloglu, R. Rohling,P. Abolmaesumi. Scaphoid fracture fixation: Localization of bones through statistical model to ultrasound registration, SPIE Medical Imaging, 2015, Orlando, FL, USA.

  11. S. Ghafurian , I. Hacihaliloglu, D.N. Metaxas, V. Tand, K. Li., 3D/2D image registration using weighted histogram of gradient directions, SPIE Medical Imaging, 2015, Orlando, FL, USA.

2014

  1. Hacihaliloglu I, Rasoulian A, Rohling RN, Abolmaesumi P. Local phase tensor features for 3-D ultrasound to statistical shape+ pose spine model registration. IEEE transactions on medical imaging. 2014 Nov;33(11):2167-79.L.L.

  2. Buchan, J.C. Doucette, I. Hacihaliloglu, R.E. Ellis, M.K. Gilbart, D.R. Wilson, '3D Ultrasound-Guided Femoroacetabular Impingement Surgery: A Cadaver Study', Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 18-21, 2014, Milan, Italy, [Oral presentation].

  3. Buchan LL, Hacihaliloglu I, Ellis RE, Gilbart MK, Wilson DR. 3D Ultrasound for Accurate Guidance of Arthroscopic Femoroacetabular Impingement Osteoplasty: a phantom model validation study. Bone Joint J. 2013 Aug 1;95(SUPP 28).

  4. Nagpal S, Abolmaesumi P, Rasoulian A, Ungi T, Hacihaliloglu I, Osborn J, Borschneck DP, Lessoway VA, Rohling RN, Mousavi P. CT to US registration of the lumbar spine: a clinical feasibility study. InInternational Conference on Information Processing in Computer-Assisted Interventions 2014 Jun 28 (pp. 108-117). Springer International Publishing.

  5. L.L. Buchan, I. Hacihailoglu, M.K. Gilbart, R. E. Ellis, D. R. Wilson. "Ultrasound-Guided Osteoplasty for Femoroacetabular Impingement: Cadaveric Validation", Orthopaedic Research Society (ORS) Annual Meeting, March 15-18, 2014, New Orleans, Louisiana,USA, 2014.

  6. S. Nagpal, I. Hacihaliloglu, T. Ungi, A.Rasoulian, D.P. Borschneck, P. Abolmaesumi, P. Mousavi."CT to US Registration of Lumbar Spine: A Clinical Feasibility Study", SPIE Medical Imaging (MI) 2014, San Diego, CA, USA, 2014.

  7. Hacihaliloglu I, Guy P, Hodgson AJ, Abugharbieh R. Volume specific parameter optimization of 3D local phase features for improved extraction of bone surfaces in ultrasound. The International Journal of Medical Robotics and Computer Assisted Surgery. 2014 Dec 1;10(4):461-73.

2013 and prior

  1. Hacihaliloglu I, Rasoulian A, Rohling RN, Abolmaesumi P. Statistical shape model to 3D ultrasound registration for spine interventions using enhanced local phase features. InInternational Conference on Medical Image Computing and Computer-Assisted Intervention 2013 Sep 22 (pp. 361-368). Springer Berlin Heidelberg.

  2. L. Buchan, I. Hacihailoglu, M.K. Gilbart, R. E. Ellis, D. R. Wilson. "3D Ultrasound for Accurate Guidance of Arthoscopic Femoroacetabular Impingement Osteoplasty: A Phantom Model Vaidation", Meeting of International Society of Computer Assisted Orthopaedic Surgery (CAOS), June 13-15, 2013, Orlando, FL, USA, [Oral Presentation].

  3. I.Hacihaliloglu, D.R. Wilson, M.K. Gilbart, M. Hunt, P. Abolmaesumi, R.E. Ellis. "Accuracy of 3D Ultrasound Based Registration for Computer-Assisted Femoroacetabular Impingement Surgery ", Orthopaedic Research Society (ORS) Annual Meeting, January 26-29, 2013, San Antonio, Texas, USA.

  4. I. Hacihaliloglu, A. Brounstein, P. Guy, A.Hodgson, R. Abugharbieh. "3D Ultrasound-CT Registration in Orthopaedic Trauma Using GMM Registration with Optimized Particle Simulation-Based Data Reduction". Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice-France, Oct 2012, 7511, pp.82-89.

  5. Brounstein A, Hacihaliloglu I, Guy P, Hodgson AJ, Abugharbieh A. Registering Intra-Operative Ultrasound with Computed Tomography using Gaussian Mixture Models. Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 13-16, 2012, Seoul, Korea.

  6. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Guy P. 3D bone surface extraction from ultrasound volumes: Optimization of 3D phase symmetry metric and clinical evaluation for pelvic ring fractures. Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), June 13-16, 2012,Seoul, Korea, [Oral presentation].

  7. Hacihaliloglu I, Wilson DR, Gilbart M, Hunt MA, Abolmaesumi P. Non-iterative partial view 3D ultrasound to CT registration in ultrasound guided computer assisted orthopedic surgery. International Conference of Coputer Assistes Radiology and Surgery (CARS 2012), Pissa,Italy,[Oral presentation].

  8. Hacihaliloglu I, Wilson DR, Gilbart M, Hunt MA, Abolmaesumi P. Non-iterative Multi-modal Partial View to Full View Image Registration Using Local Phase-based Image Projections. International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2012), 2012, Pissa, Italy, vol. 7330, pp. 64-73,[Oral presentation].

  9. Hacihaliloglu I, Wilson DR, Gilbart M, Hunt MA, Abolmaesumi P. Non-iterative partial view 3D ultrasound to CT registration in ultrasound-guided computer-assisted orthopedic surgery. International journal of computer assisted radiology and surgery. 2013 Mar 1:1-2.

  10. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Guy P. Automatic Bone Contour Detection in 3D B-mode Ultrasound Images Using Optimized Phase Symmetry Features: A Clinical Evaluation for Pelvic Fractures. The Journal of Bone and Joint Surgery (British Version), 2012 94-B:(SUPP XLIV) 64.

  11. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN, Guy P. Automatic bone localization and fracture detection from volumetric ultrasound images using 3-D local phase features. Ultrasound in medicine & biology. 2012 Jan 31;38(1):128-44.

  12. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN. Automatic adaptive parameterization in local phase feature-based bone segmentation in ultrasound. Ultrasound in medicine & biology. 2011 Oct 31;37(10):1689-703.

  13. Brounstein A, Hacihaliloglu I, Guy P, Hodgson A, Abugharbieh R. Towards real-time 3D US to CT bone image registration using phase and curvature feature based GMM matching. InInternational Conference on Medical Image Computing and Computer-Assisted Intervention 2011 Sep 18 (pp. 235-242). Springer Berlin Heidelberg.

  14. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN, Guy P. Automated bone contour detection in 3D B-mode ultrasound images using optimized phase symmetry features: a clinical evaluation for pelvic fractures. Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), London-England, June 15-18, 2011, pp. 1-4.

  15. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Guy P. Accurate, Automatic Bone Surface Extraction from 3D Ultrasound Scans:First Clinical Results. Canadian Orthopaedic Association (COA)/Canadian Orthopaedic Research Society (CORS) 2011 Annual Meeting, Newfoundland-Labrador, Canada, July 7-9 2011.

  16. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN, Guy P. Towards a Novel 3D Ultrasound Based Computer Assisted Surgery System for Orthopaedic Surgery. 11th Annual Association of Pacific Rim Universities Doctoral Students Conference (APRU DSC), Indonesia, 12-16 July, 2010.

  17. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN, Guy P. Automatically-Optimized Local Phase Features of Ultrasound Images: First Clinical Study. Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), Paris-France, 2010,pp. 257-260.

  18. Dalvi R, Hacihaliloglu I, Abugharbieh R. 3D ultrasound volume stitching using phase symmetry and Harris corner detection for orthopaedic applications. InSPIE medical imaging 2010 Mar 4 (pp. 762330-762330). International Society for Optics and Photonics.

  19. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN. Bone surface localization in ultrasound using image phase-based features. Ultrasound in medicine & biology. 2009 Sep 30;35(9):1475-87.

  20. Hacihaliloglu I, Abugharbieh R, Hodgson A, Rohling R. Automatic data-driven parameterization for phase-based bone localization in US using log-gabor filters. InInternational Symposium on Visual Computing 2009 Nov 30 (pp. 944-954). Springer Berlin Heidelberg.

  21. Hacihaliloglu I, Abugharbieh R, Hodgson A, Rohling R. Assessing Surface Localization Accuracy in 3D Local Phase Ultrasound Images Using CT Reference Images. Computer Assisted Orthopaedic Surgery (CAOS), Boston-USA, pp. 137-140, 2009.

  22. Hacihaliloglu I, Abugharbieh R, Hodgson A, Rohling R. Bone segmentation and fracture detection in ultrasound using 3D local phase features. InInternational Conference on Medical Image Computing and Computer-Assisted Intervention 2008 Sep 6 (pp. 287-295). Springer Berlin Heidelberg.

  23. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN, O'Brien P., Guy P. Surgical Tool Localization from 3D Ultrasound Volumes Using 3D Phase-Based Features. Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), Hong Kong-China, pp. 225-228, 2008.

  24. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN, O'Brien P., Guy P. Distal radius and K-wire localization in 3D ultrasound using local phase information. Computer Assisted Orthopaedic Surgery (CAOS), Heidelberg-Germany, pp. 572-575, 2007.

  25. Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN. 2A-4 Enhancement of Bone Surface Visualization from 3D Ultrasound Based on Local Phase Information. InUltrasonics Symposium, 2006. IEEE 2006 Oct 2 (pp. 21-24). IEEE.

  26. Hacihaliloglu I, Karta M. DCT and DWT based image compression in remote sensing images. InAntennas and Propagation Society International Symposium, 2004. IEEE 2004 Jun 20 (Vol. 4, pp. 3856-3858). IEEE.

  27. Hacihaliloglu I, Karta M. DCT and DWT based image compression in remote sensing images. InAntennas and Propagation Society International Symposium, 2004. IEEE 2004 Jun 20 (Vol. 4, pp. 3856-3858). IEEE.

  28. Hacihaliloglu I, Kartal M. A comparison of DCT and wavelet based compression algorithms in satellite images. In URSI-International Union of Radio Science meeting, Colorado, USA, 2004.

  29. Hacihaliloglu I, Kartal M. DCT and wavelet based image compression in satellite images. InRecent Advances in Space Technologies, 2003. RAST'03. International Conference On. Proceedings of 2003 Nov 20 (pp. 79-84). IEEE.