| 2025 | CVPR | Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attack on Breast Ultrasound Images. | Yasamin Medghalchi, Moein Heidari, Clayton Allard, Leonid Sigal, Ilker Hacihaliloglu |
| 2025 | ICASSP | Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks. | Ali Mehrabian, Parsa Mojarad Adi, Moein Heidari, Ilker Hacihaliloglu |
| 2025 | ICCV | SL | Reza Rezaeian, Moein Heidari, Reza Azad, Dorit Merhof, Hamid Soltanian-Zadeh, Ilker Hacihaliloglu |
| 2025 | MICCAI | CENet: Context Enhancement Network for Medical Image Segmentation. | Afshin Bozorgpour, Sina Ghorbani Kolahi, Reza Azad, Ilker Hacihaliloglu, Dorit Merhof |
| 2025 | MICCAI | Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality. | Milad Yazdani, Yasamin Medghalchi, Pooria Ashrafian, Ilker Hacihaliloglu, Dena Shahriari |
| 2024 | BMVC | 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 |
| 2024 | MICCAI | 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 |
| 2023 | CVPR | Ambiguous Medical Image Segmentation Using Diffusion Models. | Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation. | Aimon Rahman, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel |
| 2022 | MICCAI | Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency. | Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel |
| 2021 | MICCAI | 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 |
| 2021 | MICCAI | Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-Ray Images. | Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu |
| 2021 | MICCAI | Medical Transformer: Gated Axial-Attention for Medical Image Segmentation. | Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel |
| 2020 | BIBE | Improved Automatic Bone Segmentation Using Large-Scale Simulated Ultrasound Data to Segment Real Ultrasound Bone Surface Data. | Hridayi Patel, Ilker Hacihaliloglu |
| 2020 | MICCAI | GAN-Based Realistic Bone Ultrasound Image and Label Synthesis for Improved Segmentation. | Ahmed Z. Alsinan, Charles Rule, Michael Vives, Vishal M. Patel, Ilker Hacihaliloglu |
| 2020 | MICCAI | KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations. | Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel |
| 2020 | MICCAI | Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition. | Puyang Wang, Michael Vives, Vishal M. Patel, Ilker Hacihaliloglu |
| 2019 | MICCAI | Single Shot Needle Tip Localization in 2D Ultrasound. | Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu |
| 2018 | MICCAI | Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images. | Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi |
| 2018 | MICCAI | Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN. | Puyang Wang, Vishal M. Patel, Ilker Hacihaliloglu |
| 2017 | MICCAI | Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps. | Ilker Hacihaliloglu |
| 2017 | MICCAI | Local Phase-Based Learning for Needle Detection and Localization in 3D Ultrasound. | Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu |
| 2016 | MICCAI | Enhancement of Needle Tip and Shaft from 2D Ultrasound Using Signal Transmission Maps. | Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu |
| 2015 | MICCAI | 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 |
| 2013 | MICCAI | Statistical Shape Model to 3D Ultrasound Registration for Spine Interventions Using Enhanced Local Phase Features. | Ilker Hacihaliloglu, Abtin Rasoulian, Robert Rohling, Purang Abolmaesumi |
| 2012 | MICCAI | 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 |
| 2011 | MICCAI | 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 |
| 2009 | ISVC | Automatic Data-Driven Parameterization for Phase-Based Bone Localization in US Using Log-Gabor Filters. | Ilker Hacihaliloglu, Rafeef Abugharbieh, Antony J. Hodgson, Robert Rohling |
| 2008 | MICCAI | Bone Segmentation and Fracture Detection in Ultrasound Using 3D Local Phase Features. | Ilker Hacihaliloglu, Rafeef Abugharbieh, Antony J. Hodgson, Robert Rohling |