Bone Segmentation and Fracture Detection in Ultrasound Using 3D Local Phase Features. - Ilker Hacihaliloglu; Rafeef Abugharbieh; Antony J. Hodgson; Robert Rohling (MICCAI (1), 2008)

Automatic Data-Driven Parameterization for Phase-Based Bone Localization in US Using Log-Gabor Filters. - Ilker Hacihaliloglu; Rafeef Abugharbieh; Antony J. Hodgson; Robert Rohling (ISVC (1), 2009)

3D ultrasound volume stitching using phase symmetry and harris corner detection for orthopaedic applications. - Rupin Dalvi; Ilker Hacihaliloglu; Rafeef Abugharbieh (Image Processing, 2010)

Towards Real-Time 3D US to CT Bone Image Registration Using Phase and Curvature Feature Based GMM Matching. - Anna Brounstein; Ilker Hacihaliloglu; Pierre Guy; Antony J. Hodgson; Rafeef Abugharbieh (MICCAI (1), 2011)

Non-iterative Multi-modal Partial View to Full View Image Registration Using Local Phase-Based Image Projections. - Ilker Hacihaliloglu; David R. Wilson; Michael Gilbart; Michael A. Hunt; Purang Abolmaesumi (IPCAI, 2012)

3D Ultrasound-CT Registration in Orthopaedic Trauma Using GMM Registration with Optimized Particle Simulation-Based Data Reduction. - Ilker Hacihaliloglu; Anna Brounstein; Pierre Guy; Antony J. Hodgson; Rafeef Abugharbieh (MICCAI (2), 2012)

Statistical Shape Model to 3D Ultrasound Registration for Spine Interventions Using Enhanced Local Phase Features. - Ilker Hacihaliloglu; Abtin Rasoulian; Robert Rohling; Purang Abolmaesumi (MICCAI (2), 2013)

Non-iterative partial view 3D ultrasound to CT registration in ultrasound-guided computer-assisted orthopedic surgery. - Ilker Hacihaliloglu; David R. Wilson; Michael Gilbart; Michael A. Hunt; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2013)

CT to US Registration of the Lumbar Spine: A Clinical Feasibility Study. - Simrin Nagpal; Purang Abolmaesumi; Abtin Rasoulian; Tamas Ungi; Ilker Hacihaliloglu; Jill Osborn; Dan P. Borschneck; Victoria A. Lessoway; Robert Rohling; Parvin Mousavi (IPCAI, 2014)

A global CT to US registration of the lumbar spine. - Simrin Nagpal; Ilker Hacihaliloglu; Tamas Ungi; Abtin Rasoulian; Jill Osborn; Victoria A. Lessoway; Robert N. Rohling; Daniel P. Borschneck; Purang Abolmaesumi; Parvin Mousavi (Image-Guided Procedures, 2014)

Local Phase Tensor Features for 3-D Ultrasound to Statistical Shape+Pose Spine Model Registration. - Ilker Hacihaliloglu; Abtin Rasoulian; Robert Rohling; Purang Abolmaesumi (IEEE Trans. Medical Imaging, 2014)

Projection-Based Phase Features for Localization of a Needle Tip in 2D Curvilinear Ultrasound. - Ilker Hacihaliloglu; Parmida Beigi; Gary C. Ng; Robert N. Rohling; Septimiu E. Salcudean; Purang Abolmaesumi (MICCAI (1), 2015)

Scaphoid fracture fixation: localization of bones through statistical model to ultrasound registration. - Emran Mohammad Abu Anas; Abtin Rasoulian; Paul St. John; David R. Pichora; Parvin Mousavi; Victoria A. Lessoway; Alexander Seitel; Ilker Hacihaliloglu; Robert Rohling; Purang Abolmaesumi (Image-Guided Procedures, 2015)

3D/2D image registration using weighted histogram of gradient directions. - Soheil Ghafurian; Ilker Hacihaliloglu; Dimitris N. Metaxas; Virak Tan; Kang Li 004 (Image-Guided Procedures, 2015)

Bone enhancement in ultrasound using local spectrum variations for guiding percutaneous scaphoid fracture fixation procedures. - Emran Mohammad Abu Anas; Alexander Seitel; Abtin Rasoulian; Paul St. John; David R. Pichora; Kathryn Darras; David R. Wilson; Victoria A. Lessoway; Ilker Hacihaliloglu; Parvin Mousavi; Robert Rohling; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2015)

Automatic extraction of bone surfaces from 3D ultrasound images in orthopaedic trauma cases. - Ilker Hacihaliloglu; Pierre Guy; Antony J. Hodgson; Rafeef Abugharbieh (Int. J. Comput. Assist. Radiol. Surg., 2015)

A multi-vertebrae CT to US registration of the lumbar spine in clinical data. - Simrin Nagpal; Purang Abolmaesumi; Abtin Rasoulian; Ilker Hacihaliloglu; Tamas Ungi; Jill Osborn; Victoria A. Lessoway; John F. Rudan; Melanie Jaeger; Robert N. Rohling; Dan P. Borschneck; Parvin Mousavi (Int. J. Comput. Assist. Radiol. Surg., 2015)

Segmentation of knee MRI using structure enhanced local phase filtering. - Mikhiel Lim; Ilker Hacihaliloglu (Computer-Aided Diagnosis, 2016)

Enhancement of Needle Tip and Shaft from 2D Ultrasound Using Signal Transmission Maps. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (MICCAI (1), 2016)

Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps. - Ilker Hacihaliloglu (MSKI@MICCAI, 2017)

Local Phase-Based Learning for Needle Detection and Localization in 3D Ultrasound. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (CARE/CLIP@MICCAI, 2017)

3D/2D image registration method for joint motion analysis using low-quality images from mini C-arm machines. - Soheil Ghafurian; Ilker Hacihaliloglu; Dimitris N. Metaxas; Virak Tan; Kang Li 004 (Image-Guided Procedures, 2017)

Enhancement of bone shadow region using local phase-based ultrasound transmission maps. - Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2017)

A computationally efficient 3D/2D registration method based on image gradient direction probability density function. - Soheil Ghafurian; Ilker Hacihaliloglu; Dimitris N. Metaxas; Virak Tan; Kang Li 004 (Neurocomputing, 2017)

Enhancement and automated segmentation of ultrasound knee cartilage for early diagnosis of knee osteoarthritis. - Prajna Ramesh Desai; Ilker Hacihaliloglu (ISBI, 2018)

Automatic real-time CNN-based neonatal brain ventricles segmentation. - Puyang Wang; Nick G. Cuccolo; Rachana Tyagi; Ilker Hacihaliloglu; Vishal M. Patel (ISBI, 2018)

Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images. - Jian Ren 005; Ilker Hacihaliloglu; Eric A. Singer; David J. Foran; Xin Qi 007 (MICCAI (2), 2018)

Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN. - Puyang Wang; Vishal M. Patel; Ilker Hacihaliloglu (MICCAI (4), 2018)

Signal attenuation maps for needle enhancement and localization in 2D ultrasound. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2018)

Convolution neural networks for real-time needle detection and localization in 2D ultrasound. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2018)

Single Shot Needle Tip Localization in 2D Ultrasound. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (MICCAI (5), 2019)

Automatic segmentation of bone surfaces from ultrasound using a filter-layer-guided CNN. - Ahmed Z. Alsinan; Vishal M. Patel; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2019)

Learning needle tip localization from digital subtraction in 2D ultrasound. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2019)

Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data. - V. Jeya Maria Jose; Rajeev Yasarla; Puyang Wang; Ilker Hacihaliloglu; Vishal M. Patel (CoRR, 2019)

Knee-Cartilage Segmentation and Thickness Measurement from 2D Ultrasound. - Prajna Ramesh Desai; Ilker Hacihaliloglu (J. Imaging, 2019)

Improved Automatic Bone Segmentation Using Large-Scale Simulated Ultrasound Data to Segment Real Ultrasound Bone Surface Data. - Hridayi Patel; Ilker Hacihaliloglu (BIBE, 2020)

GAN-Based Realistic Bone Ultrasound Image and Label Synthesis for Improved Segmentation. - Ahmed Z. Alsinan; Charles Rule; Michael Vives; Vishal M. Patel; Ilker Hacihaliloglu (MICCAI (6), 2020)

KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations. - Jeya Maria Jose Valanarasu; Vishwanath A. Sindagi; Ilker Hacihaliloglu; Vishal M. Patel (MICCAI (4), 2020)

Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition. - Puyang Wang; Michael Vives; Vishal M. Patel; Ilker Hacihaliloglu (MICCAI (6), 2020)

Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN. - Ahmed Z. Alsinan; Vishal M. Patel; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2020)

IJCARS - IPCAI 2020 special issue: 11th conference on information processing for computer-assisted interventions - part 1. - Stamatia Giannarou; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2020)

Robust real-time bone surfaces segmentation from ultrasound using a local phase tensor-guided CNN. - Puyang Wang; Michael Vives; Vishal M. Patel; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2020)

KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations. - V. Jeya Maria Jose; Vishwanath Sindagi; Ilker Hacihaliloglu; Vishal M. Patel (CoRR, 2020)

Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network. - Xiao Qi; Lloyd G. Brown; David J. Foran; Ilker Hacihaliloglu (CoRR, 2020)

Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data. - Jeya Maria Jose Valanarasu; Rajeev Yasarla; Puyang Wang; Ilker Hacihaliloglu; Vishal M. Patel (IEEE J. Sel. Top. Signal Process., 2020)

Multi-feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data. - Hui Che; Jared Radbel; Jag Sunderram; John L. Nosher; Vishal M. Patel; Ilker Hacihaliloglu (EMBC, 2021)

Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease. - Hui Che; Sumana Ramanathan; David J. Foran; John L. Nosher; Vishal M. Patel; Ilker Hacihaliloglu (ASMUS@MICCAI, 2021)

Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-Ray Images. - Xiao Qi; David J. Foran; John L. Nosher; Ilker Hacihaliloglu (MLMI@MICCAI, 2021)

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation. - Jeya Maria Jose Valanarasu; Poojan Oza; Ilker Hacihaliloglu; Vishal M. Patel (MICCAI (1), 2021)

Liver disease classification from ultrasound using multi-scale CNN. - Hui Che; Lloyd G. Brown; David J. Foran; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2021)

Time-aware deep neural networks for needle tip localization in 2D ultrasound. - Cosmas Mwikirize; Alvin B. Kimbowa; Sylvia Imanirakiza; Andrew Katumba; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2021)

Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network. - Xiao Qi; Lloyd G. Brown; David J. Foran; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2021)

Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis. - Xiao Qi; David J. Foran; John L. Nosher; Ilker Hacihaliloglu (MILLanD@MICCAI, 2022)

Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation. - Aimon Rahman; Wele Gedara Chaminda Bandara; Jeya Maria Jose Valanarasu; Ilker Hacihaliloglu; Vishal M. Patel (MICCAI (5), 2022)

Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency. - Aimon Rahman; Jeya Maria Jose Valanarasu; Ilker Hacihaliloglu; Vishal M. Patel (MICCAI (4), 2022)

Diffusion Models for Medical Image Analysis: A Comprehensive Survey. - Amirhossein Kazerouni; Ehsan Khodapanah Aghdam; Moein Heidari; Reza Azad; Mohsen Fayyaz; Ilker Hacihaliloglu; Dorit Merhof (CoRR, 2022)

KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation. - Jeya Maria Jose Valanarasu; Vishwanath A. Sindagi; Ilker Hacihaliloglu; Vishal M. Patel (IEEE Trans. Medical Imaging, 2022)

Ambiguous Medical Image Segmentation Using Diffusion Models. - Aimon Rahman; Jeya Maria Jose Valanarasu; Ilker Hacihaliloglu; Vishal M. Patel (CVPR, 2023)

Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis. - Xiao Qi; David J. Foran; John L. Nosher; Ilker Hacihaliloglu (CoRR, 2023)

Diffusion models in medical imaging: A comprehensive survey. - Amirhossein Kazerouni; Ehsan Khodapanah Aghdam; Moein Heidari; Reza Azad; Mohsen Fayyaz; Ilker Hacihaliloglu; Dorit Merhof (Medical Image Anal., 2023)

MSA2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation. - Sina Ghorbani Kolahi; Seyed Kamal Chaharsooghi; Toktam Khatibi; Afshin Bozorgpour; Reza Azad; Moein Heidari; Ilker Hacihaliloglu; Dorit Merhof (BMVC, 2024)

Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer. - Mohammad R. Salmanpour; Amin Mousavi; Yixi Xu; William B. Weeks; Ilker Hacihaliloglu (ASMUS@MICCAI, 2024)

MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline. - Yasamin Medghalchi; Niloufar Zakariaei; Arman Rahmim; Ilker Hacihaliloglu (CoRR, 2024)

Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks. - Pooria Ashrafian; Milad Yazdani; Moein Heidari; Dena Shahriari; Ilker Hacihaliloglu (CoRR, 2024)

Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights. - Moein Heidari; Reza Azad; Sina Ghorbani Kolahi; René Arimond; Leon Niggemeier; Alaa Sulaiman; Afshin Bozorgpour; Ehsan Khodapanah Aghdam; Amirhossein Kazerouni; Ilker Hacihaliloglu; Dorit Merhof (CoRR, 2024)

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis. - Moein Heidari; Sina Ghorbani Kolahi; Sanaz Karimijafarbigloo; Bobby Azad; Afshin Bozorgpour; Soheila Hatami; Reza Azad; Ali Diba; Ulas Bagci; Dorit Merhof; Ilker Hacihaliloglu (CoRR, 2024)

Single-Layer Learnable Activation for Implicit Neural Representation (SL2A-INR). - Moein Heidari; Reza Rezaeian; Reza Azad; Dorit Merhof; Hamid Soltanian-Zadeh; Ilker Hacihaliloglu (CoRR, 2024)

Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization. - Mohammad R. Salmanpour; Morteza Alizadeh; Ghazal Mousavi; Saba Sadeghi; Sajad Amiri; Mehrdad Oveisi; Arman Rahmim; Ilker Hacihaliloglu (CoRR, 2024)

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images. - Yasamin Medghalchi; Moein Heidari; Clayton Allard; Leonid Sigal; Ilker Hacihaliloglu (CoRR, 2024)

Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0. - Mohammad R. Salmanpour; Sajad Amiri; Sara Gharibi; Ahmad Shariftabrizi; Yixi Xu; William B. Weeks; Arman Rahmim; Ilker Hacihaliloglu (CoRR, 2024)

Developing a Canadian artificial intelligence medical curriculum using a Delphi study. - Rohit Singla; Nikola Pupic; Seyed-Aryan Ghaffarizadeh; Caroline Kim; Ricky Hu; Bruce B. Forster; Ilker Hacihaliloglu (npj Digit. Medicine, 2024)

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attack on Breast Ultrasound Images. - Yasamin Medghalchi; Moein Heidari; Clayton Allard; Leonid Sigal; Ilker Hacihaliloglu (CVPR, 2025)

Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks. - Ali Mehrabian; Parsa Mojarad Adi; Moein Heidari; Ilker Hacihaliloglu (ICASSP, 2025)

Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization. - Mohammad R. Salmanpour; Morteza Alizadeh; Ghazal Mousavi; Saba Sadeghi; Sajad Amiri; Mehrdad Oveisi; Arman Rahmim; Ilker Hacihaliloglu (IEEE Access, 2025)

Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study. - Rohit Singla; Nikola Pupic; Seyed-Aryan Ghaffarizadeh; Caroline Kim; Ricky Hu; Bruce B. Forster; Ilker Hacihaliloglu (npj Digit. Medicine, 2025)

Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer. - Mohammad R. Salmanpour; Amin Mousavi; Yixi Xu; William B. Weeks; Ilker Hacihaliloglu (CoRR, 2025)

A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation. - Moein Heidari; Ehsan Khodapanah Aghdam; Alexander Manzella; Daniel Hsu 004; Rebecca Scalabrino; Wenjin Chen; David J. Foran; Ilker Hacihaliloglu (CoRR, 2025)

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality. - Milad Yazdani; Yasamin Medghalchi; Pooria Ashrafian; Ilker Hacihaliloglu; Dena Shahriari (CoRR, 2025)

Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data. - Alvin B. Kimbowa; Arjun Parmar; Maziar Badii; David Liu; Matthew Harkey; Ilker Hacihaliloglu (CoRR, 2025)

Impact of Data Patterns on Biotype identification Using Machine Learning. - Yuetong Yu; Ruiyang Ge; Ilker Hacihaliloglu; Alexander Rauscher; Roger Tam; Sophia Frangou (CoRR, 2025)

Echo-E3Net: Efficient Endo-Epi Spatio-Temporal Network for Ejection Fraction Estimation. - Moein Heidari; Afshin Bozorgpour; AmirHossein Zarif-Fakharnia; Dorit Merhof; Ilker Hacihaliloglu (CoRR, 2025)

Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0. - Mohammad R. Salmanpour; Seyed Mohammad Piri; Somayeh Sadat Mehrnia; Ahmad Shariftabrizi; Masume Allahmoradi; Venkata SK. Manem; Arman Rahmim; Ilker Hacihaliloglu (CoRR, 2025)

AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning. - Morteza Alizadeh; Mehrdad Oveisi; Sonya Falahati; Ghazal Mousavi; Mohsen Alambardar Meybodi; Somayeh Sadat Mehrnia; Ilker Hacihaliloglu; Arman Rahmim; Mohammad R. Salmanpour (CoRR, 2025)

CENet: Context Enhancement Network for Medical Image Segmentation. - Afshin Bozorgpour; Sina Ghorbani Kolahi; Reza Azad; Ilker Hacihaliloglu; Dorit Merhof (CoRR, 2025)

WaRA: Wavelet Low Rank Adaptation. - Moein Heidari; Yasamin Medghalchi; Mahdi Khoursha; Reza Rezaeian; Ilker Hacihaliloglu (CoRR, 2025)

Robust Semi-Supervised CT Radiomics for Lung Cancer Prognosis: Cost-Effective Learning with Limited Labels and SHAP Interpretation. - Mohammad R. Salmanpour; Amir Hossein Pouria; Sonia Falahati; Shahram Taeb; Somayeh Sadat Mehrnia; Mehdi Maghsudi; Ali Fathi Jouzdani; Mehrdad Oveisi; Ilker Hacihaliloglu; Arman Rahmim (CoRR, 2025)

Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Breast Cancer; Dictionary Version BM1.0. - Arman Gorji; Nima Sanati; Amir Hossein Pouria; Somayeh Sadat Mehrnia; Ilker Hacihaliloglu; Arman Rahmim; Mohammad R. Salmanpour (CoRR, 2025)

Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging. - Mohammad R. Salmanpour; Somayeh Sadat Mehrnia; Sajad Jabarzadeh Ghandilu; Zhino Safahi; Sonya Falahati; Shahram Taeb; Ghazal Mousavi; Mehdi Maghsoudi; Ahmad Shariftabrizi; Ilker Hacihaliloglu; Arman Rahmim (CoRR, 2025)