Publications

September 2024
Performance and clinical utility of an artificial intelligence-enabled tool for pulmonary embolism detection.
Ayobi A, Chang PD, Chow DS, Weinberg BD, Tassy M, Franciosini A, Scudeler M, Quenet S, Avare C, Chaibi Y

September 2024
Deep Learning-Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation Time.
Ayobi A, Davis A, Chang PD, Chow DS, Nael K, Tassy M, Quenet S, Fogola S, Shabe P, Fussell D, Avare C, Chaibi Y

August 2024
Diagnostic Performance of a Deep Learning-Powered Application for Aortic Dissection Triage Prioritization and Classification.
Laletin V, Ayobi A, Chang PD, Chow DS, Soun JE, Junn JC, Scudeler M, Quenet S, Tassy M, Avare C, Roca-Sogorb M, Chaibi Y.

August 2024
Diagnostic Performance of a Deep Learning-Powered Application for Aortic Dissection Triage Prioritization and Classification.
Laletin V, Ayobi A, Chang PD, Chow DS, Soun JE, Junn JC, Scudeler M, Quenet S, Tassy M, Avare C, Roca-Sogorb M, Chaibi Y.

July 2024
Performance and clinical utility of an artificial intelligence-enabled tool for pulmonary embolism detection.
Ayobi A, Chang PD, Chow DS, Weinberg BD, Tassy M, Franciosini A, Scudeler M, Quenet S, Avare C, Chaibi Y

June 2024
AI Efficacy as a Function of Trainee Interpreter Proficiency: Lessons from a Randomized Controlled Trial.
Fussell DA, Tang CC, Sternhagen J, Marrey VV, Roman KM, Johnson J, Head MJ, Troutt HR, Li CH, Chang PD, Joseph J, Chow DS

April 2024
A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.
Vahdati S, Khosravi B, Mahmoudi E, Zhang K, Rouzrokh P, Faghani S, Moassefi M, Tahmasebi A, Andriole KP, Chang P, Farahani K, Flores MG, Folio L, Houshmand S, Giger ML, Gichoya JW, Erickson BJ

January 2024
Revolutionizing shoulder mri: Accelerated imaging with deep learning reconstruction.
Chang PD, Chow DS

October 2023
Deep Learning Approach for Differentiating Etiologies of Pediatric Retinal Hemorrhages: A Multicenter Study.
Khosravi P, Huck NA, Shahraki K, Hunter SC, Danza CN, Kim SY, Forbes BJ, Dai S, Levin AV, Binenbaum G, Chang PD, Suh DW

October 2023
Efficient and Accurate Computed Tomography-Based Stone Volume Determination: Development of an Automated Artificial Intelligence Algorithm.
Cumpanas AD, Chantaduly C, Morgan KL, Shao W, Gorgen ARH, Tran CM, Wu YX, McCormac A, Tano ZE, Patel RM, Chang P, Landman J, Clayman RV

May 2023
Artificial Intelligence for Improved Hepatosplenomegaly Diagnosis.
Rao S, Glavis-Bloom J, Bui TL, Afzali K, Bansal R, Carbone J, Fateri C, Roth B, Chan W, Kakish D, Cortes G, Wang P, Meraz J, Chantaduly C, Chow DS, Chang PD, Houshyar R

May 2023
Methamphetamine use increases the risk of cerebral small vessel disease in young patients with acute ischemic stroke.
Zhu Z, Vanderschelden B, Joung Lee S, Blackwill H, Shafie M, Soun JE, Chow D, Chang P, Stradling D, Qian T, Yu W

May 2023
Impact of an automated large vessel occlusion detection tool on clinical workflow and patient outcomes.
Soun JE, Zolyan A, McLouth J, Elstrott S, Nagamine M, Liang C, Dehkordi-Vakil FH, Chu E, Floriolli D, Kuoy E, Joseph J, Abi-Jaoudeh N, Chang PD, Yu W, Chow DS

April 2023
Deep Learning-Based Algorithm for Automatic Detection of Pulmonary Embolism in Chest CT Angiograms.
Grenier PA, Ayobi A, Quenet S, Tassy M, Marx M, Chow DS, Weinberg BD, Chang PD, Chaibi Y

February 2023
Automated detection of IVC filters on radiographs with deep convolutional neural networks.
Mongan J, Kohli MD, Houshyar R, Chang PD, Glavis-Bloom J, Taylor AG

October 2022
Head-to-head comparison of commercial artificial intelligence solutions for detection of large vessel occlusion at a comprehensive stroke center.
Schlossman J, Ro D, Salehi S, Chow D, Yu W, Chang PD, Soun JE

September 2022
Histologic Screening of Malignant Melanoma, Spitz, Dermal and Junctional Melanocytic Nevi Using a Deep Learning Model.
Snyder AN, Zhang D, Dreesen SL, Baltimore CA, Lopez-Garcia DR, Akers JY, Metts CL, Madory JE, Chang PD, Doan LT, Elston DM, Valdebran MA, Luo F, Forcucci JA

August 2022
Point-of-Care Brain MRI: Preliminary Results from a Single-Center, Retrospective Study.
Kuoy E, Glavis-Bloom J, Hovis G, Yep B, Biswas A, Masudathaya L, Morrick L, Limfueco J, Soun J, Chang P, Chu E, Akbari Y, Yaghmai V, Fox J, Yu W, Chow D

May 2022
Diagnostic Roots Radiofrequency Sensory Stimulation Looking for Symptomatic Injured Roots in Multiple Lumbar Stenosis.
Kim JM, Kang SH, Cho SS, Chang PD, Yang JS, Jeon JP, Choi HJ

January 2022
Successful COVID-19 Surge Management With Monoclonal Antibody Infusion in Emergency Department Patients.
Chow DS, Desai R, Soundara M, Gohil S, Chang PD, Amin A.

November 2021
Artificial Intelligence assessment of Renal Scarring (AIRS study)
Chantaduly C, Troutt HR, Reyes KP, Zuckerman JE, Chang PD, Lau W

August 2021
Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach.
Kara S, Akers JY, Chang PD

August 2021
Dynamic Changes of Convolutional Neural Network-based Mammographic Breast Cancer Risk Score Among Women Undergoing Chemoprevention Treatment.
Manley H, Mutasa S, Chang P, Desperito E, Crew K, Ha R

May 2021
Segmentation of the Prostate Transition Zone and Peripheral Zone on MR Images with Deep Learning.
Bardis M, Houshyar R, Chantaduly C, Tran-Harding K, Ushinsky A, Chahine C, Rupasinghe M, Chow D, Chang P

April 2021
Outcomes of Artificial Intelligence Volumetric Assessment of Kidneys and Renal Tumors for Preoperative Assessment of Nephron Sparing Interventions.
Houshyar R, Glavis-Bloom J, Bui TL, Chahine C, Bardis MD, Ushinsky A, Liu H, Bhatter P, Lebby E, Fujimoto D, Grant W, Tran-Harding K, Landman J, Chow DS, Chang PD

April 2021
Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers.
Zhang Y, Chen J, Lin Y, Chan S, Zhou J, Chow DS, Chang PD, Kwong T, Yeh D, Wang X, Parajuli R, Mehta RS, Wang M, Su M

April 2021
Validation of a Deep Learning Tool in the Detection of Intracranial Hemorrhage and Large Vessel Occlusion.
McLouth J, Elstrott S, Chaibi Y, Quenet S, Chang PD, Chow DS, Soun JE

January 2021
A 3D-2D Hybrid U-Net Convolutional Neural Network Approach to Prostate Organ Segmentation of Multiparametric MRI.
Ushinsky A, Bardis M, Glavis-Bloom J, Uchio E, Chantaduly C, Nguyentat M, Chow D, Chang PD, Houshyar R

January 2021
Artificial Intelligence and Acute Stroke Imaging.
Soun JE, Chow DS, Nagamine M, Takhtawala RS, Filippi CG, Yu W, Chang PD

December 16th, 2020
Predictive Values of Location and Volumetric MRI Injury Patterns for Neurodevelopmental Outcomes in Hypoxic-Ischemic Encephalopathy Neonates.
Chang PD, Chow DS, Alber A, Lin YK, Youn YA

December 11th, 2020
Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images.
Zhang Y, Chan S, Park VY, Chang KT, Mehta S, Kim MJ, Combs FJ, Chang P, Chow D, Parajuli R, Mehta RS, Lin CY, Chien SH, Chen JH, Su MY

December 2020
Development and external validation of a prognostic tool for COVID-19 critical disease.
Chow D, Glavis-Bloom J, Soun J, Weinberg B, Loveless TB, Xie X, Mutasa S, Monuki A Park J, Bota D, Wu J, Thompson L, Boden-Albala B, Khan s, Amin A, Chang P

November 2020
Updates on Deep Learning and Glioma: Use of Convolutional Neural Networks to Image Glioma Heterogeneity.
Chow DS, Khatri D, Chang PD, Zlochower A, Boockvar JA, Filippi CG

November 2020
Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle.
Stember JN, Celik H, Gutman D, Swinburne N, Young R, Eskreis-Winkler S, Holodny A, Jambawalikar S, Wood BJ, Chang PD, Krupinski E, Bagci U

October 2020
Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers.
Zhang Y, Chen JH, Lin Y, Chan S, Zhou J, Chow D, Chang P, Kwong T, Yeh DC, Wang X, Parajuli R, Mehta RS, Wang M, Su MY

August 2020
A 3D/2D Hybrid U-Net CNN approach to prostate organ segmentation of mpMRI.
Ushinsky A, Bardis M, Glavis-Bloom J, Uchio E, Chantaduly C, Nguyentat M, Chow D, Chang P, Houshyar R

July 2020
Deep learning with limited data: Organ segmentation performance by U-Net.
Bardis MD, Houshyar R, Chantaduly C, Ushinsky A, Glavis-Bloom J, Shaver MM, Chow DS, Uchio EM, Chang PD

May 2020
Applications of Artificial Intelligence to Prostate Multiparametric MRI (mpMRI): Current and Emerging Trends.
Bardis MD, Houshyar R, Chang PD, Ushinsky A, Glavis-Bloom J, Chahine C, Bui TL, Rupasinghe M, Filippi CG, Chow DS

April 2020
Accuracy of Artificial Intelligence in Measuring Intracerebral Hemorrhage Volumes and Expansion Compared to Human Estimates (5018).
Nagamine M, Kohanteb P, Yu W, Chang PD, Chow DS

April 2020
Deep Learning AI Applications in the Imaging of Glioma.
Zlochower A, Chow DS, Chang P, Khatri D, Boockvar JA, Filippi CG

March 2020
Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue.
Zhou J, Zhang Y, Chang KT, Lee KE, Wang O, Li J, Lin Y, Pan Z, Chang P, Chow D, Wang M, Su MY

December 2019
Cerebral Microbleeds in a Stroke Prevention Clinic.
Cho AH, Wadi L, Chow D, Chang P, Floriolli D, Shah K, Paganini-Hill A, Fisher M

December 2019
Differentiation of spinal metastases originated from lung and other cancers using radiomics and deep learning based on DCE-MRI.
Lang N, Zhang Y, Zhang E, Zhang J, Chow D, Chang P, Yu HJ, Yuan H, Su MY

December 2019
Deep Learning for Detection of Complete Anterior Cruciate Ligament Tear. 
Chang PD, Wong TT, Rasiej MJ

October 2019
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography. 
Stember JN, Chang P, Stember DM, Liu M, Grinband J, Filippi CG, Meyers P, Jambawalikar S

October 2019
Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset. 
Ha R, Chin C, Karcich J, Liu MZ, Chang P, Mutasa S, Pascual Van Sant E, Wynn RT, Connolly E, Jambawalikar S

September 2019
Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI. 
Shi L, Zhang Y, Nie K, Sun X, Niu T, Yue N, Kwong T, Chang P, Chow D, Chen JH, Su MY

June 2019
Optomizing Neuro-Oncology Imaging: A Review of Deep Learning Approaches for Glioma Imaging.
Shaver MM, Kohanteb PA, Chiou C, Bardis MD, Chantaduly C, Bota D, Filippi CG, Weinberg B, Grinband J, Chow DS, Chang PD

April 2019
Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset. 
Ha R, Chang P, Karcich J, Mutasa S, Pascual Van Sant E, Liu MZ, Jambawalikar S

February 2019
Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score. 
Ha R, Chang P, Mutasa S, Karcich J, Goodman S, Blum E, Kalinsky K, Liu MZ, Jambawalikar S

February 2019
Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning.
Trivedi HM, Panahiazar M, Liang A, Lituiev D, Chang P, Sohn JH, Chen YY, Franc BL, Joe B, Hadley D

February 2019
Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study. 
Shaish H, Mutasa S, Makkar J, Chang P, Schwartz L, Ahmed F

February 2019
Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement. 
Ha R, Chang P, Mema E, Mutasa S, Karcich J, Wynn RT, Liu MZ, Jambawalikar S

January 2019
Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net.
Zhang Y, Chen JH, Chang KT, Park VY, Kim MJ, Chan S, Chang PD, Chow DS, Luk A, Kwong T, Su MY

October 2018
Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm. 
Ha R, Chang P, Karcich J, Mutasa S, Van Sant EP, Connolly E, Chin C, Taback B, Liu MZ, Jambawalikar S

September 2018
Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Detection on Head CT.
Chang PD, Kuoy, E, Grinband J, Weinberg BD, Thompson M, Homo R, Chen J, Abcede H, Shafie M, Sugrue L, Filippi CG, Su MY, Yu W, Hess C, Chow D

May 2018
Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas.
Chang P, Grinband J, Weinberg BD, Bardis M, Khy M, Cadena G, Su MY, Cha S, Filippi CG, Bota D, Baldi P, Poisson LM, Jain R, Chow D

May 2018
Sodium Fluorescein Facilitates Guided Sampling of Diagnostic Tumor Tissue in Nonenhancing Gliomas.
Bowden SG, Neira JA, Gill BJA, Ung TH, Englander ZK, Zanazzi G, Chang PD, Samanamud J, Grinband J, Sheth SA, McKhann GM 2nd, Sisti MB, Canoll P, D’Amico RS, Bruce JN

April 2018
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.
Ha R, Chang P, Karcich J, Mutasa S, Fardanesh R, Wynn RT, Liu MZ, Jambawalikar S

February 2018
MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.
Mutasa S, Chang PD, Ruzal-Shapiro C, Ayyala R

January 2018
Imaging Genetic Heterogeneity in Glioblastoma and Other Glial Tumors: Review of Current Methods and Future Directions. 
Chow D, Chang P, Weinberg BD, Bota DA, Grinband J, Filippi CG

July 2017
A novel method of quantifying brain atrophy associated with age-related hearing loss. 
Qian ZJ, Chang PD, Moonis G, Lalwani AK

May 2017
A Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized Biopsies. 
Chang PD, Malone HR, Bowden SG, Chow DS, Gill BJA, Ung TH, Samanamud J, Englander ZK, Sonabend AM, Sheth SA, McKhann GM 2nd, Sisti MB, Schwartz LH, Lignelli A, Grinband J, Bruce JN, Canoll P

January 2017
Predicting Glioblastoma Recurrence by Early Changes in the Apparent Diffusion Coefficient Value and Signal Intensity on FLAIR Images. 
Chang PD, Chow DS, Yang PH, Filippi CG, Lignelli A