Search Results - "Salahuddin, Zohaib"

Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods by Mali, Shruti Atul, Ibrahim, Abdalla, Woodruff, Henry C, Andrearczyk, Vincent, Müller, Henning, Primakov, Sergey, Salahuddin, Zohaib, Chatterjee, Avishek, Lambin, Philippe

“…Radiomics converts medical images into mineable data via a high-throughput extraction of quantitative features used for clinical decision support. However,…”
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Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning by Refaee, Turkey, Salahuddin, Zohaib, Frix, Anne-Noelle, Yan, Chenggong, Wu, Guangyao, Woodruff, Henry C., Gietema, Hester, Meunier, Paul, Louis, Renaud, Guiot, Julien, Lambin, Philippe

“…Purpose To develop handcrafted radiomics (HCR) and deep learning (DL) based automated diagnostic tools that can differentiate between idiopathic pulmonary…”
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UR-CarA-Net: A cascaded framework with uncertainty regularization for automated segmentation of carotid arteries on black blood MR images by Lavrova, Elizaveta, Salahuddin, Zohaib, Woodruff, Henry C., Kassem, Mohamed, Camarasa, Robin, Van Der Kolk, Anja G., Nederkoorn, Paul J., Bos, Daniel, Hendrikse, Jeroen, Eline Kooi, M., Lambin, Philippe

“…We present a fully automated method for carotid artery (CA) outer wall segmentation in black blood MRI using partially annotated data and compare it to the…”
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Development of Clinical Radiomics-Based Models to Predict Survival Outcome in Pancreatic Ductal Adenocarcinoma: A Multicenter Retrospective Study by Mokhtari, Ayoub, Casale, Roberto, Salahuddin, Zohaib, Paquier, Zelda, Guiot, Thomas, Woodruff, Henry C, Lambin, Philippe, Van Laethem, Jean-Luc, Hendlisz, Alain, Bali, Maria Antonietta

“…This multicenter retrospective study aims to identify reliable clinical and radiomic features to build machine learning models that predict progression-free…”
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Transparency of deep neural networks for medical image analysis: A review of interpretability methods by Salahuddin, Zohaib, Woodruff, Henry C., Chatterjee, Avishek, Lambin, Philippe

“…Artificial Intelligence (AI) has emerged as a useful aid in numerous clinical applications for diagnosis and treatment decisions. Deep neural networks have…”
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Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans by Salahuddin, Zohaib, Lenga, Matthias, Nickisch, Hannes

“…We propose a deep learning-based automatic coronary artery tree centerline tracker (AuCoTrack) extending the vessel work of [1]. A multi-resolution 3D…”
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From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featuring Uncertainty, Fairness, and Multi-Region Multi-Modal Radiomics by Salahuddin, Zohaib, Chen, Yi, Zhong, Xian, Woodruff, Henry C, Rad, Nastaran Mohammadian, Mali, Shruti Atul, Lambin, Philippe

“…Automatic delineation and detection of the primary tumour (GTVp) and lymph nodes (GTVn) using PET and CT in head and neck cancer and recurrence-free survival…”
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An Interpretable Radiomics Model Based on Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma by Zhong, Xian, Salahuddin, Zohaib, Chen, Yi, Woodruff, Henry C, Long, Haiyi, Peng, Jianyun, Xie, Xiaoyan, Lin, Manxia, Lambin, Philippe

“…Objective: The aim of this study was to develop and validate an interpretable radiomics model based on two-dimensional shear wave elastography (2D-SWE) for…”
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Development and Validation of a Radiomics-Based Decision-Making Supporting Tool to Improve the Management and Outcome of Patients with Pancreatic Cancer by Mokhtari, Ayoub, Casale, Roberto, Paquier, Zelda, Guiot, Thomas, Salahuddin, Zohaib, Woodruff, Henry, Lambin, Philippe, Van Laethem, Jean-Luc, Bali, Maria

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MaasPenn Radiomics Reproducibility Score: A Novel Quantitative Measure for Evaluating the Reproducibility of CT-Based Handcrafted Radiomic Features by Ibrahim, Abdalla, Barufaldi, Bruno, Refaee, Turkey, Silva Filho, Telmo M, Acciavatti, Raymond J, Salahuddin, Zohaib, Hustinx, Roland, Mottaghy, Felix M, Maidment, Andrew D A, Lambin, Philippe

“…The reproducibility of handcrafted radiomic features (HRFs) has been reported to be affected by variations in imaging parameters, which significantly affect…”
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CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features by Refaee, Turkey, Salahuddin, Zohaib, Widaatalla, Yousif, Primakov, Sergey, Woodruff, Henry C, Hustinx, Roland, Mottaghy, Felix M, Ibrahim, Abdalla, Lambin, Philippe

“…Handcrafted radiomics features (HRFs) are quantitative features extracted from medical images to decode biological information to improve clinical decision…”
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Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans by Salahuddin, Zohaib, Lenga, Matthias, Nickisch, Hannes

“…2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 2021, pp. 91-95 We propose a deep learning-based automatic coronary artery…”
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Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods by Salahuddin, Zohaib, Woodruff, Henry C, Chatterjee, Avishek, Lambin, Philippe

“…Artificial Intelligence has emerged as a useful aid in numerous clinical applications for diagnosis and treatment decisions. Deep neural networks have shown…”
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Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms by Simarro, Jaime, Salahuddin, Zohaib, Gouda, Ahmed, Saha, Anindo

“…Identification and segmentation of breast masses in mammograms face complex challenges, owing to the highly variable nature of malignant densities with regards…”
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Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis by Primakov, Sergey, Lavrova, Elizaveta, Salahuddin, Zohaib, Woodruff, Henry C, Lambin, Philippe

“…Medical image analysis plays a key role in precision medicine as it allows the clinicians to identify anatomical abnormalities and it is routinely used in…”
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Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial by Zhong, Xian, Salahuddin, Zohaib, Chen, Yi, Woodruff, Henry C, Long, Haiyi, Peng, Jianyun, Udawatte, Nuwan, Casale, Roberto, Mokhtari, Ayoub, Zhang, Xiaoer, Huang, Jiayao, Wu, Qingyu, Tan, Li, Chen, Lili, Li, Dongming, Xie, Xiaoyan, Lin, Manxia, Lambin, Philippe

“…Artificial intelligence (AI)-based decision support systems have demonstrated value in predicting post-hepatectomy liver failure (PHLF) in hepatocellular…”
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Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study by Salahuddin, Zohaib, Ibrahim, Abdalla, Kuang, Sheng, Widaatalla, Yousif, Miclea, Razvan L, Morin, Oliver, Behr, Spencer, Kop, Marnix P. M, Marcelissen, Tom, Zondervan, Patricia, Jager, Auke, Lambin, Philippe, Woodruff, Henry C

“…Routine computed tomography (CT) scans often detect a wide range of renal cysts, some of which may be malignant. Early and precise localization of these cysts…”
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FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging by Lekadir, Karim, Osuala, Richard, Gallin, Catherine, Lazrak, Noussair, Kushibar, Kaisar, Tsakou, Gianna, Aussó, Susanna, Alberich, Leonor Cerdá, Marias, Kostas, Tsiknakis, Manolis, Colantonio, Sara, Papanikolaou, Nickolas, Salahuddin, Zohaib, Woodruff, Henry C, Lambin, Philippe, Martí-Bonmatí, Luis

“…The recent advancements in artificial intelligence (AI) combined with the extensive amount of data generated by today's clinical systems, has led to the…”
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