RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models

Authors: Maleki, Farhad, Moy, Linda, Forghani, Reza, Ghosh, Tapotosh, Ovens, Katie, Langer, Steve, Rouzrokh, Pouria, Khosravi, Bardia, Ganjizadeh, Ali, Warren, Daniel, Daneshjou, Roxana, Moassefi, Mana, Avval, Atlas Haddadi, Sotardi, Susan, Tenenholtz, Neil, Kitamura, Felipe, Kline, Timothy

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2401.08847

Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls

Authors: Maleki, Farhad, Ovens, Katie, Gupta, Rajiv, Reinhold, Caroline, Spatz, Alan, Forghani, Reza

Subject Terms: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing

Access URL: http://arxiv.org/abs/2202.01337

Spectral image clustering on dual-energy CT scans using functional regression mixtures

Authors: Brivet, Segolene, Chamroukhi, Faicel, Coates, Mark, Forghani, Reza, Savadjiev, Peter

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning, Statistics - Methodology, 62-XX, G.3, I.4.6

Access URL: http://arxiv.org/abs/2201.13398

Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? -- A Case Study using Dual Energy CT Data

Authors: Maier, Andreas, Yang, Seung Hee, Maleki, Farhad, Muthukrishnan, Nikesh, Forghani, Reza

Subject Terms: Computer Science - Cryptography and Security, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computers and Society, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, Physics - Medical Physics

Access URL: http://arxiv.org/abs/2112.03678

Multiple Sclerosis: Clinical Update and Clinically-Oriented Radiologic Reporting

Authors: Nguyen, Phuong, Rempe, Torge, Forghani, Reza

Source: In Magnetic Resonance Imaging Clinics of North America May 2024 32(2):363-374

Case of the Season: Artificial Intelligence in Clinical Practice—Large Vessel Occlusion Triage in Stroke Imaging

Authors: Forghani, Reza, Gupta, Rajiv

Source: Seminars in roentgenology. 58(2):147-151

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100188137676.0x000001&indx=1&recIds=ETOCvdc_100188137676.0x000001

Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and Beyond

Authors: Pierre, Kevin, Haneberg, Adam G., Kwak, Sean, Peters, Keith R., Hochhegger, Bruno, Sananmuang, Thiparom, Tunlayadechanont, Padcha, Tighe, Patrick J., Mancuso, Anthony, Forghani, Reza

Source: Seminars in roentgenology. 58(2):158-169

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100188137718.0x000001&indx=1&recIds=ETOCvdc_100188137718.0x000001

Introduction to Radiomics and Artificial Intelligence: A Primer for Radiologists

Authors: Haneberg, Adam G., Pierre, Kevin, Winter-Reinhold, Eric, Hochhegger, Bruno, Peters, Keith R., Grajo, Joseph, Arreola, Manuel, Asadizanjani, Navid, Bian, Jiang, Mancuso, Anthony, Forghani, Reza

Source: Seminars in roentgenology. 58(2):152-157

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100188137716.0x000001&indx=1&recIds=ETOCvdc_100188137716.0x000001

Artificial Intelligence for Cardiothoracic Imaging: Overview of Current and Emerging Applications

Authors: Hochhegger, Bruno, Pasini, Romulo, Roncally Carvalho, Alysson, Rodrigues, Rosana, Altmayer, Stephan, Kayat Bittencourt, Leonardo, Marchiori, Edson, Forghani, Reza

Source: Seminars in roentgenology. 58(2):184-195

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100188137722.0x000001&indx=1&recIds=ETOCvdc_100188137722.0x000001

A Practical Guide for AI Algorithm Selection for the Radiology Department

Authors: Forghani, Reza

Source: Seminars in roentgenology. 58(2):208-213

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100188137689.0x000001&indx=1&recIds=ETOCvdc_100188137689.0x000001

Predicting histopathology markers of endometrial carcinoma with a quantitative image analysis approach based on spherical harmonics in multiparametric MRI

Authors: Lefebvre, Thierry L., Ciga, Ozan, Bhatnagar, Sahir Rai, Ueno, Yoshiko, Saif, Sameh, Winter-Reinhold, Eric, Dohan, Anthony, Soyer, Philippe, Forghani, Reza, Siddiqi, Kaleem, Seuntjens, Jan, Reinhold, Caroline, Savadjiev, Peter

Source: Diagnostic and interventional imaging. 104(3):142-152

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100184678034.0x000001&indx=1&recIds=ETOCvdc_100184678034.0x000001

Critical technical design principles for maximizing the reuse of building components

Authors: Forghani, Reza, Sher, Willy, Kanjanabootra, Sittimont

Source: International journal of construction management. 23(7/9):1187-1195

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCRN632166060&indx=1&recIds=ETOCRN632166060

A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images
19th Conference on Computer Analysis of Images and Patterns

Authors: Maleki, Farhad, Cote, Kevin, Najafian, Keyhan, Ovens, Katie, Miao, Yan, Zakarian, Rita, Reinhold, Caroline, Forghani, Reza, Savadjiev, Peter, Gao, Zu-hua

Source: Lecture notes in computer science. 13052:206-214

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN607245184&indx=1&recIds=ETOCCN607245184

Development and Validation of Multiparametric MRI—based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer

Authors: Lefebvre, Thierry L., Ueno, Yoshiko, Dohan, Anthony, Chatterjee, Avishek, Vallières, Martin, Winter-Reinhold, Eric, Saif, Sameh, Levesque, Ives R., Zeng, Xing Ziggy, Forghani, Reza

Source: Radiology. 305(2):375-386

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCRN630450857&indx=1&recIds=ETOCRN630450857

Surgeon versus radiologist: an inter-rater reliability analysis of the CLOSE checklist for preoperative CT sinus assessment.

Authors: Almhanedi, Hamad, Chowdhury, Raisa, Alreefi, Mahmoud, Varshney, Rickul, Saliba, Joseph, Forghani, Reza, Zawawi, Faisal, Chen, Philip, Floreani, Stephen, AlBader, Abdullah, Tewfik, Marc A.

Source: European Archives of Oto-Rhino-Laryngology; Feb2025, Vol. 282 Issue 2, p837-842, 6p

Subject Terms: PICTURE archiving & communication systems, PARANASAL sinuses, CRIBRIFORM plate, SPHENOID sinus, MEDICAL sciences

CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell Lymphoma

Authors: Santiago, Raoul, Ortiz Jimenez, Johanna, Forghani, Reza, Muthukrishnan, Nikesh, Del Corpo, Olivier, Karthigesu, Shairabi, Haider, Muhammad Yahya, Reinhold, Caroline, Assouline, Sarit

Source: In Translational Oncology October 2021 14(10)

Investigating the impact of the CT Hounsfield unit range on radiomic feature stability using dual energy CT data

Authors: Chatterjee, Avishek, Valliéres, Martin, Forghani, Reza, Seuntjens, Jan

Source: In Physica Medica August 2021 88:272-277

Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics

Authors: Haider, Stefan P., Sharaf, Kariem, Zeevi, Tal, Baumeister, Philipp, Reichel, Christoph, Forghani, Reza, Kann, Benjamin H., Petukhova, Alexandra, Judson, Benjamin L., Prasad, Manju L., Liu, Chi, Burtness, Barbara, Mahajan, Amit, Payabvash, Seyedmehdi

Source: In Translational Oncology January 2021 14(1)

Automated Segmentation of Lymph Nodes on Neck CT Scans Using Deep Learning.

Authors: Al Hasan, Md Mahfuz^1,2, Ghazimoghadam, Saba³, Tunlayadechanont, Padcha^3,4, Mostafiz, Mohammed Tahsin^1,2, Gupta, Manas¹, Roy, Antika^1,2, Peters, Keith^1,5, Hochhegger, Bruno^1,5, Mancuso, Anthony^1,5, Asadizanjani, Navid^1,2, Forghani, Reza^1,3,5,6,7, r.forghani@ufl.edu

Source: Journal of Digital Imaging; Dec2024, Vol. 37 Issue 6, p2955-2966, 12p

Motor outcomes in unilateral, bilateral rapid, and bilateral delayed staging deep brain stimulation for Parkinson's disease.

Authors: Sarmento, Filipe, Daga, Anshul, Wang, Anson, Srikar Lavu, Venkat, de Araújo, Tiberio, Aghili Mehrizi, Sina, Hilliard, Justin D., Forghani, Reza, Okun, Michael S., Wong, Joshua K.

Source: Journal of Parkinson's Disease; Nov2024, Vol. 14 Issue 8, p1614-1622, 9p

Subject Terms: DEEP brain stimulation, PARKINSON'S disease, MULTIPLE regression analysis, MANN Whitney U Test, GLOBUS pallidus, BRAIN stimulation