Ilker Hacihaliloglu

3.1k total citations · 3 hit papers
70 papers, 1.6k citations indexed

About

Ilker Hacihaliloglu is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ilker Hacihaliloglu has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 30 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ilker Hacihaliloglu's work include Medical Imaging and Analysis (22 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Medical Image Segmentation Techniques (15 papers). Ilker Hacihaliloglu is often cited by papers focused on Medical Imaging and Analysis (22 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Medical Image Segmentation Techniques (15 papers). Ilker Hacihaliloglu collaborates with scholars based in United States, Canada and Netherlands. Ilker Hacihaliloglu's co-authors include Vishal M. Patel, Jeya Maria Jose Valanarasu, Rafeef Abugharbieh, Robert Rohling, Antony J. Hodgson, John L. Nosher, Vishwanath A. Sindagi, Moein Heidari, Amirhossein Kazerouni and Mohsen Fayyaz and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Ilker Hacihaliloglu

66 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diffusion models in medical imaging: A comprehensive survey

2023 290 citations Amirhossein Kazerouni, Ehsan Khodapanah Aghdam et al. Medical Image Analysis profile →
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

2021 179 citations Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi et al. IEEE Transactions on Medical Imaging profile →
Ambiguous Medical Image Segmentation Using Diffusion Models

2023 90 citations Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu et al. profile →

Peers

Countries citing papers authored by Ilker Hacihaliloglu

Since Specialization

Citations

This map shows the geographic impact of Ilker Hacihaliloglu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ilker Hacihaliloglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilker Hacihaliloglu more than expected).

Fields of papers citing papers by Ilker Hacihaliloglu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ilker Hacihaliloglu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ilker Hacihaliloglu. The network helps show where Ilker Hacihaliloglu may publish in the future.

Co-authorship network of co-authors of Ilker Hacihaliloglu

This figure shows the co-authorship network connecting the top 25 collaborators of Ilker Hacihaliloglu. A scholar is included among the top collaborators of Ilker Hacihaliloglu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ilker Hacihaliloglu. Ilker Hacihaliloglu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging 2026 ·Journal of Imaging Informatics in Medicine ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Ahmad Shariftabrizi, Ilker Hacihaliloglu, (unknown)	0
2	Influence of high-performance image-to-image translation networks on clinical visual assessment and outcome prediction: utilizing ultrasound to MRI translation in prostate cancer 2025 ·International Journal of Computer Assisted Radiology and Surgery ·Mohammad R. Salmanpour, Amin Mousavi, Yixi Xu, William B. Weeks, Ilker Hacihaliloglu	2
3	Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer, Dictionary Version PM1.0 2025 ·Journal of Imaging Informatics in Medicine ·Mohammad R. Salmanpour, (unknown), (unknown), Ahmad Shariftabrizi, Yixi Xu, William B. Weeks, Arman Rahmim, Ilker Hacihaliloglu	1
4	Wireless vs. traditional ultrasound assessed knee cartilage outcomes utilizing automated gain and normalization techniques 2025 ·PubMed ·(unknown), (unknown), (unknown), (unknown), Ilker Hacihaliloglu, (unknown), (unknown), Matthew S. Harkey	1
5	Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization 2025 ·IEEE Access ·Mohammad R. Salmanpour, Morteza Alizadeh, (unknown), (unknown), (unknown), (unknown), Arman Rahmim, Ilker Hacihaliloglu	2
6	Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Breast Cancer; Dictionary Version BM1.0 2025 ·A. A. Gorji, Nasim Sanati, (unknown), (unknown), Ahmad Shariftabrizi, Ilker Hacihaliloglu, Arman Rahmim, Mohammad R. Salmanpour	0
7	Developing a Canadian artificial intelligence medical curriculum using a Delphi study 2024 ·npj Digital Medicine ·Rohit Singla, (unknown), (unknown), (unknown), Ricky Hu, Bruce B. Forster, Ilker Hacihaliloglu	6
8	Augmenting endometriosis analysis from ultrasound data using deep learning 2023 ·(unknown), Jennifer Dai, (unknown), Qi Xiao, (unknown), Nancy J. Phillips, Susan M. Egan, Ilker Hacihaliloglu	4
9	Diffusion models in medical imaging: A comprehensive survey breakdown → 2023 ·Medical Image Analysis ·Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof	290
10	KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation breakdown → 2021 ·IEEE Transactions on Medical Imaging ·Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel	179
11	Multi-feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data 2021 ·2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ·Hui Che, (unknown), Jag Sunderram, John L. Nosher, (unknown), Ilker Hacihaliloglu	14
12	Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network 2021 ·International Journal of Computer Assisted Radiology and Surgery ·Qi Xiao, (unknown), David J. Foran, John L. Nosher, Ilker Hacihaliloglu	50
13	Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data 2020 ·IEEE Journal of Selected Topics in Signal Processing ·Jeya Maria Jose Valanarasu, Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, Vishal M. Patel	22
14	Learning needle tip localization from digital subtraction in 2D ultrasound 2019 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), John L. Nosher, Ilker Hacihaliloglu	27
15	Signal attenuation maps for needle enhancement and localization in 2D ultrasound 2018 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), John L. Nosher, Ilker Hacihaliloglu	16
16	Enhancement of bone shadow region using local phase-based ultrasound transmission maps 2017 ·International Journal of Computer Assisted Radiology and Surgery ·Ilker Hacihaliloglu	19
17	Automatic extraction of bone surfaces from 3D ultrasound images in orthopaedic trauma cases 2014 ·International Journal of Computer Assisted Radiology and Surgery ·Ilker Hacihaliloglu, Pierre Guy, Antony J. Hodgson, Rafeef Abugharbieh	13
18	Non-iterative partial view 3D ultrasound to CT registration in ultrasound-guided computer-assisted orthopedic surgery 2012 ·International Journal of Computer Assisted Radiology and Surgery ·Ilker Hacihaliloglu, David R. Wilson, Michael K. Gilbart, Michael A. Hunt, Purang Abolmaesumi	13
19	Towards Real-Time 3D US to CT Bone Image Registration Using Phase and Curvature Feature Based GMM Matching 2011 ·Lecture notes in computer science ·(unknown), Ilker Hacihaliloglu, Pierre Guy, Antony J. Hodgson, Rafeef Abugharbieh	26
20	Bone Segmentation and Fracture Detection in Ultrasound Using 3D Local Phase Features 2008 ·Lecture notes in computer science ·Ilker Hacihaliloglu, Rafeef Abugharbieh, Antony J. Hodgson, Robert Rohling	43

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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