Autonomic Cardiovascular Control Following Transient Arousal From Sleep: A Time-Varying Closed-Loop Model. - Anna Blasi; Javier A. Jo; Edwin Valladares; Ricardo Juarez; Ahmet Baydur; Michael C. K. Khoo (IEEE Trans. Biomed. Eng., 2006)

In Vivo Simultaneous Morphological and Biochemical Optical Imaging of Oral Epithelial Cancer. - Javier A. Jo; Brian E. Applegate; Jesung Park; Sebina Shrestha; Paritosh Pande; Irma B. Gimenez-Conti; Jimi L. Brandon (IEEE Trans. Biomed. Eng., 2010)

Automated Analysis of Fluorescence Lifetime Imaging Microscopy (FLIM) Data Based on the Laguerre Deconvolution Method. - Paritosh Pande; Javier A. Jo (IEEE Trans. Biomed. Eng., 2011)

A new method to estimate abundances of multiple components using multi-spectral Fluorescence Lifetime Imaging Microscopy. - Omar Gutierrez-Navarro; Edgar R. Arce Santana; Daniel U. Campos-Delgado; Martín O. Méndez; Javier A. Jo (EMBC, 2012)

Iterative estimation of the number of autofluorescence components in a biological sample. - Omar Gutierrez-Navarro; Daniel U. Campos-Delgado; Edgar R. Arce Santana; Martín O. Méndez; Javier A. Jo (WHISPERS, 2013)

A Fully Constrained Optimization Method for Time-Resolved Multispectral Fluorescence Lifetime Imaging Microscopy Data Unmixing. - Omar Gutierrez-Navarro; Daniel U. Campos-Delgado; Edgar Arce Santana; Martín O. Méndez; Javier A. Jo (IEEE Trans. Biomed. Eng., 2013)

Blind End-Member and Abundance Extraction for Multispectral Fluorescence Lifetime Imaging Microscopy Data. - Omar Gutierrez-Navarro; Daniel U. Campos-Delgado; Edgar Arce Santana; Martín O. Méndez; Javier A. Jo (IEEE J. Biomed. Health Informatics, 2014)

A novel continuous time ternary encoding based SS-OCT calibration. - Amir Tofighi Zavareh; Oscar Barajas; Michael Serafino; Javier A. Jo; Brian E. Applegate; Brian M. Sadler; Sebastian Hoyos (BioCAS, 2016)

Quadratic blind linear unmixing: A graphical user interface for tissue characterization. - Omar Gutierrez-Navarro; Daniel U. Campos-Delgado; Edgar R. Arce Santana; Javier A. Jo (Comput. Methods Programs Biomed., 2016)

Endogenous Fluorescence Lifetime Imaging (FLIM) Endoscopy For Early Detection Of Oral Cancer And Dysplasia. - Javier A. Jo; Shuna Cheng; Rodrigo Cuenca-Martinez; Elvis Duran-Sierra; Bilal Malik; Beena Ahmed; Kristen C. Maitland; Yi-Shing Lisa Cheng; John Wright; Terry Reese (EMBC, 2018)

Optical detection of oral carcinoma via structured illumination fluorescence lifetime imaging. - Taylor A. Hinsdale; Bilal H. Malik; Shuna Cheng; Maryellen L. Giger; John Wright; Paras Patel; Javier A. Jo; Kristen C. Maitland (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Detection of brain tumor margins using optical coherence tomography. - Ronald M. Juarez-Chambi; Carmen Kut; Jesus Rico-Jimenez; Daniel U. Campos-Delgado; Alfredo Quinones-Hinojosa; Xingde Li; Javier A. Jo (Computer-Aided Diagnosis, 2018)

Extended Blind End-Member and Abundance Extraction for Biomedical Imaging Applications. - Daniel U. Campos-Delgado; Omar Gutierrez-Navarro; Jesus Rico-Jimenez; Elvis Duran-Sierra; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Javier A. Jo (IEEE Access, 2019)

Classification of skin-cancer lesions based on fluorescence lifetime imaging. - Priyanka Vasanthakumari; Renan A. Romano; Ramon G. T. Rosa; Ana G. Salvio; Vladislav Yakovlev; Cristina Kurachi; Javier A. Jo (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Neural networks for in situ detection of glioma infiltration using optical coherence tomography. - Ronald M. Juarez-Chambi; Carmen Kut; Kaisorn L. Chaichana; Alfredo Quinones-Hinojosa; Xingde Li; Javier A. Jo (Computer-Aided Diagnosis, 2020)

End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral Lesions. - Kayla Caughlin; Elvis Duran-Sierra; Shuna Cheng; Rodrigo Cuenca-Martinez; Beena Ahmed; Jim Ji 001; Vladislav Yakovlev; Mathias Martinez; Moustafa Al-Khalil; Hussain Al-Enazi; Javier A. Jo; Carlos Busso (EMBC, 2021)

Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients. - Huong Pham; Meredith A. Jones; Tiancheng Gai; Warid Islam; Gopichandh Danala; Javier A. Jo; Bin Zheng 001 (Computer-Aided Diagnosis, 2022)

An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images. - Alireza Abdihamzehkolaei; Seyedehnafiseh Mirniaharikandehei; Angel Choquehuanca; Marco Aedo Lopez; Wilmer Pacheco; Laura Estacio; Victor Cahui; Luis Huallpa; Kevin Quiñonez; Valeria Calderón; Ana Maria Gutiérrez; Ana Vargas; et al. (Image Perception, Observer Performance, and Technology Assessment, 2023)

Aligning Small Datasets Using Domain Adversarial Learning: Applications in Automated in Vivo Oral Cancer Diagnosis. - Kayla Caughlin; Elvis Duran-Sierra; Shuna Cheng; Rodrigo Cuenca-Martinez; Beena Ahmed; Jim Ji 001; Mathias Martinez; Moustafa Al-Khalil; Hussain Al-Enazi; Yi-Shing Lisa Cheng; John Wright; Javier A. Jo; et al. (IEEE J. Biomed. Health Informatics, 2023)

Multi and hyperspectral image unmixing with spatial coherence by extended blind end-member and abundance extraction. - Inés A. Cruz-Guerrero; Aldo R. Mejía-Rodríguez; Samuel Ortega; Himar Fabelo; Gustavo M. Callicó; Javier A. Jo; Daniel U. Campos-Delgado (J. Frankl. Inst., 2023)

Beyond Dysplasia: Uncovering Structure in Oral Potentially Malignant Diseases with Unsupervised Contrastive Learning. - Kayla Caughlin; Rodrigo Cuenca-Martinez; Gabriel P. Tortorelli; Yi-Shing Lisa Cheng; Rashmi Hegde; Celeste Abraham; Jacqueline M. Plemons; Ying S. Wang; Victoria Woo; Javier A. Jo; Carlos Busso (EMBC, 2024)

Understanding Bias in Multispectral Autofluorescence Lifetime Imaging: Are Models Sensitive to Oral Location? - Kayla Caughlin; Rodrigo Cuenca-Martinez; Gabriel P. Tortorelli; Kathleen E. Higgins; Ronald Faram; Javier A. Jo; Carlos Busso (EMBC, 2024)