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L. Hadjiiski · SciRah

Researcher profile · Semantic Scholar

L. Hadjiiski

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L. Hadjiiski — researcher profile on SciRah

h-index: 58
Works: 357
Citations: 12K

Most-cited papers

Deep learning in medical imaging and radiation therapy.
B. Sahiner, Aria Pezeshk, L. Hadjiiski, Xiaosong Wang +4 more
2018Medical Physics (Lancaster)686 citations Open access
Semantic Scholar
Computer-Aided Diagnosis in the Era of Deep Learning
H. Chan, L. Hadjiiski, Ravi K. Samala
2020Medical Physics (Lancaster)310 citations Open access
Semantic Scholar
Deep Learning in Medical Image Analysis
H. Chan, Ravi K. Samala, L. Hadjiiski, Chuan Zhou
2020Advances in Experimental Medicine and Biology283 citations Open access
Semantic Scholar
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning using Deep Neural Nets
Ravi K. Samala, H. Chan, L. Hadjiiski, M. Helvie +2 more
2019IEEE Transactions on Medical Imaging198 citations Open access
Semantic Scholar
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images
S. Armato, H. Huisman, K. Drukker, L. Hadjiiski +8 more
2018Journal of Medical Imaging186 citations Open access
Semantic Scholar
Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning
K. Cha, L. Hadjiiski, H. Chan, A. Weizer +5 more
2017Scientific Reports181 citations Open access
Semantic Scholar
CAD and AI for breast cancer - Recent Development and Challenges.
H. Chan, Ravi K. Samala, L. Hadjiiski
2019British Journal of Radiology142 citations Open access
Semantic Scholar
Urinary Bladder Cancer Staging in CT Urography using Machine Learning
S. Garapati, L. Hadjiiski, K. Cha, H. Chan +7 more
2017Medical Physics (Lancaster)118 citations Open access
Semantic Scholar
Evolutionary Pruning of Transfer Learned Deep Convolutional Neural Network for Breast Cancer Diagnosis in Digital Breast Tomosynthesis
Ravi K. Samala, H. Chan, L. Hadjiiski, M. Helvie +2 more
2018Physics in Medicine and Biology99 citations Open access
Semantic Scholar
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
L. Hadjiiski, K. Cha, H. Chan, K. Drukker +18 more
2022Medical Physics (Lancaster)85 citations Open access
Semantic Scholar
U-Net-based Deep-Learning Bladder Segmentation in CT Urography
Xiangyuan Ma, L. Hadjiiski, Jun Wei, H. Chan +6 more
2019Medical Physics (Lancaster)74 citations Open access
Semantic Scholar
Use of Screening Mammography to Detect Occult Malignancy in Autologous Breast Reconstructions: A 15-year Experience.
M. Noroozian, Leah W Carlson, Julia L. Savage, D. O. Jeffries +5 more
2018Radiology73 citations
Semantic Scholar
Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI
Zachary Papanastasopoulos, Ravi K. Samala, H. Chan, L. Hadjiiski +3 more
2020Medical Imaging71 citations
Semantic Scholar
Deep Learning Approach for Assessment of Bladder Cancer Treatment Response
E. Wu, L. Hadjiiski, Ravi K. Samala, H. Chan +7 more
2019Tomography59 citations Open access
Semantic Scholar
Computer-Aided Assessment of Breast Density: Comparison of Supervised Deep Learning and Feature-Based Statistical Learning
Song-Feng Li, Jun Wei, H. Chan, M. Helvie +5 more
2018Physics in Medicine and Biology56 citations Open access
Semantic Scholar
Diagnostic Accuracy of CT for Prediction of Bladder Cancer Treatment Response with and without Computerized Decision Support
K. Cha, L. Hadjiiski, Richard H. Cohan, Heang-Ping Chan +13 more
2018Academic Radiology55 citations Open access
Semantic Scholar
Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks
Ravi K. Samala, H. Chan, L. Hadjiiski, Sathvik Koneru
2020Medical Imaging49 citations
Semantic Scholar
Generalization Error Analysis for Deep Convolutional Neural Network with Transfer Learning in Breast Cancer Diagnosis
Ravi K. Samala, H. Chan, L. Hadjiiski, M. Helvie +1 more
2020Physics in Medicine and Biology41 citations Open access
Semantic Scholar
AI in medical physics: guidelines for publication.
I. El Naqa, J. Boone, S. Benedict, M. Goodsitt +5 more
2021Medical Physics (Lancaster)38 citations Open access
Semantic Scholar
Risks of Feature Leakage and Sample Size Dependencies in Deep Feature Extraction for Breast Mass Classification
Ravi K. Samala, H. Chan, L. Hadjiiski, M. Helvie
2020Medical Physics (Lancaster)35 citations Open access
Semantic Scholar
Outcome Prediction Using Multi-Modal Information: Integrating Large Language Model-Extracted Clinical Information and Image Analysis
Di Sun, L. Hadjiiski, John Gormley, Heang-Ping Chan +7 more
2024Cancers33 citations Open access
Semantic Scholar
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge
Y. Balagurunathan, Andrew L. Beers, M. McNitt-Gray, L. Hadjiiski +26 more
2021IEEE Transactions on Medical Imaging33 citations Open access
Semantic Scholar
Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images
Yifan Wang, Chuan Zhou, H. Chan, L. Hadjiiski +2 more
2022Medical Physics (Lancaster)27 citations Open access
Semantic Scholar
Characterization of breast masses in digital breast tomosynthesis and digital mammograms: an observer performance study
H. Chan, M. Helvie, L. Hadjiiski, D. O. Jeffries +5 more
2017Academic Radiology24 citations Open access
Semantic Scholar
A pictorial review of bladder cancer nodal metastases
Prasad R. Shankar, D. Barkmeier, L. Hadjiiski, R. Cohan
2018Translational Andrology and Urology23 citations Open access
Semantic Scholar
Enhancing Early Lung Cancer Diagnosis: Predicting Lung Nodule Progression in Follow-Up Low-Dose CT Scan with Deep Generative Model
Yi-Fan Wang, Chuan Zhou, Lei Ying, Heang-Ping Chan +4 more
2024Cancers22 citations Open access
Semantic Scholar
Automated Pectoral Muscle Identification on MLO-view Mammograms: Comparison of Deep Neural Network to Conventional Computer Vision
Xiangyuan Ma, Jun Wei, Chuan Zhou, M. Helvie +3 more
2019Medical Physics (Lancaster)19 citations Open access
Semantic Scholar
Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis
Ravi K. Samala, H. Chan, L. Hadjiiski, M. Helvie +2 more
2018Medical Imaging19 citations
Semantic Scholar
Deep-Learning Convolutional Neural Network: Inner and Outer Bladder Wall Segmentation in CT Urography
Marshall N. Gordon, L. Hadjiiski, K. Cha, Ravi K. Samala +3 more
2019Medical Physics (Lancaster)17 citations Open access
Semantic Scholar
Semi-Automated Pulmonary Nodule Interval Segmentation using the NLST data
Y. Balagurunathan, Andrew L. Beers, Jayashree Kalpathy-Cramer, M. McNitt-Gray +14 more
2018Medical Physics (Lancaster)17 citations Open access
Semantic Scholar
Bladder cancer treatment response assessment using deep learning in CT with transfer learning
K. Cha, L. Hadjiiski, H. Chan, Ravi K. Samala +5 more
2017Medical Imaging17 citations
Semantic Scholar
Intraobserver Variability in Bladder Cancer Treatment Response Assessment With and Without Computerized Decision Support
L. Hadjiiski, K. Cha, R. Cohan, H. Chan +13 more
2020Tomography16 citations Open access
Semantic Scholar
Multi-class deep learning segmentation and automated measurements in periodontal sonograms of a porcine model.
Ying-Chun Pan, H. Chan, Xiang-Bo Kong, L. Hadjiiski +1 more
2021Dento maxillo facial radiology15 citations Open access
Semantic Scholar
Survival Prediction of Patients with Bladder Cancer after Cystectomy Based on Clinical, Radiomics, and Deep-Learning Descriptors
Di Sun, L. Hadjiiski, John Gormley, H. Chan +5 more
2023Cancers14 citations Open access
Semantic Scholar
Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study
Di Sun, L. Hadjiiski, A. Alva, Y. Zakharia +22 more
2022Tomography13 citations Open access
Semantic Scholar
Evaluating the reliability of large language models for clinical data extraction in bladder cancer prognosis
Di Sun, L. Hadjiiski, Grace Bruno, John Gormley +7 more
2025Scientific Reports12 citations Open access
Semantic Scholar
Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening.
Yi-Fan Wang, Chuan Zhou, Lei Ying, Elizabeth Lee +4 more
2024Radiology: Cardiothoracic Imaging12 citations
Semantic Scholar
Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study
Sean Woolen, A. Virkud, L. Hadjiiski, K. Cha +4 more
2021Tomography12 citations Open access
Semantic Scholar
A minority of patients with functional seizures have abnormalities on neuroimaging.
W. Kerr, John K. Lee, Amir-Hossein Karimi, H. Tatekawa +16 more
2021Journal of Neurological Sciences11 citations Open access
Semantic Scholar
Synthesizing Mammogram from Digital Breast Tomosynthesis
Jun Wei, H. Chan, M. Helvie, M. Roubidoux +4 more
2019Physics in Medicine and Biology11 citations Open access
Semantic Scholar
Variabilities in Reference Standard by Radiologists and Performance Assessment in Detection of Pulmonary Embolism in CT Pulmonary Angiography
Chuan Zhou, H. Chan, Aamer Chughtai, Smita Patel +4 more
2019Journal of digital imaging10 citations Open access
Semantic Scholar
2D and 3D bladder segmentation using U-Net-based deep-learning
Xiangyuan Ma, L. Hadjiiski, Jun Wei, H. Chan +6 more
2019Medical Imaging10 citations
Semantic Scholar
Analysis of deep convolutional features for detection of lung nodules in computed tomography
Ravi K. Samala, H. Chan, Caleb D. Richter, L. Hadjiiski +2 more
2019Medical Imaging10 citations
Semantic Scholar
Multi-path deep learning model for automated mammographic density categorization
Xiangyuan Ma, Caleb Fisher, Jun Wei, M. Helvie +4 more
2019Medical Imaging9 citations
Semantic Scholar
Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning
Aman Kushwaha, Rami F. Mourad, K. Heist, Humera Tariq +5 more
2023Tomography8 citations Open access
Semantic Scholar
Pathologic categorization of lung nodules: radiomic descriptors of CT attenuation distribution patterns of solid and subsolid nodules in low-dose CT
Chuan Zhou, H. Chan, Aamer Chughtai, L. Hadjiiski +2 more
2020European Journal of Radiology8 citations Open access
Semantic Scholar
Improving Image Quality for Digital Breast Tomosynthesis: Automated Detection and Diffusion-based Method for Metal Artifact Reduction
Yao Lu, H. Chan, Jun Wei, L. Hadjiiski +1 more
2017Physics in Medicine and Biology8 citations Open access
Semantic Scholar
Severity assessment of COVID-19 using imaging descriptors: a deep-learning transfer learning approach from non-COVID-19 pneumonia
Ravi K. Samala, L. Hadjiiski, H. Chan, Chuan Zhou +3 more
2021Medical Imaging7 citations
Semantic Scholar
Interrater Agreement and Diagnostic Accuracy of a Novel Computer-Aided Detection Process for the Detection and Prevention of Retained Surgical Instruments.
T. Marentis, M. Davenport, J. Dillman, Ramon Sanchez +5 more
2018AJR. American journal of roentgenology7 citations
Semantic Scholar
Computer-aided detection of bladder masses in CT urography (CTU)
K. Cha, L. Hadjiiski, H. Chan, E. Caoili +3 more
2017Medical Imaging7 citations
Semantic Scholar

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