G. Fernandez

发表

Development and validation of a novel automated Gleason grade and molecular profile that define a highly predictive prostate cancer progression algorithm-based test

A. Tewari, C. Cordon-Cardo, M. Donovan, 2018, Prostate Cancer and Prostatic Diseases.

Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment

Marcel Prastawa, C. Cordon-Cardo, J. Crary, 2022, Acta Neuropathologica Communications.

Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

C. Cordon-Cardo, B. Marami, M. Donovan, 2022, Breast cancer research : BCR.

1293 PREVIOUSLY DEVELOPED SYSTEMS-BASED BIOPSY MODEL (PROSTATE PX+) IDENTIFIES FAVORABLE-RISK PROSTATE CANCER FOR MEN ENROLLED IN AN ACTIVE SURVEILLANCE PROGRAM

L. Klotz, P. Capodieci, M. Donovan, 2011 .

Personalized prediction of tumor response and cancer progression on prostate needle biopsy.

Gerardo Fernandez, Mikhail Teverovskiy, Yevgen Vengrenyuk, 2009, The Journal of urology.

Systems pathology approach for the prediction of prostate cancer progression after radical prostatectomy.

Gerardo Fernandez, Mikhail Teverovskiy, Marina Sapir, 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Glandular object based tumor morphometry in H&E biopsy samples for prostate cancer prognosis

Michael J. Donovan, Gerardo Fernandez, Ho-Yuen Pang, 2011, Medical Imaging.

Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy

Marcel Prastawa, Gerardo Fernandez, Jack Zeineh, 2019, Laboratory Investigation.

BACH: Grand Challenge on Breast Cancer Histology Images

Catarina Eloy, Jin Tae Kwak, Maximilian Baust, 2018, Medical Image Anal..

Artificial intelligence methods for predictive image-based grading of human cancers

B. Marami, M. Donovan, G. Fernandez, 2021 .

The application of artificial intelligence and machine learning to automate Gleason grading: Novel tools to develop next generation risk assessment assays.

M. Donovan, F. Khan, G. Fernandez, 2018 .

Predicting and replacing the pathological Gleason grade with automated gland ring morphometric features from immunofluorescent prostate cancer images

Gerardo Fernandez, Richard Scott, Michael Donovan, 2017, Journal of medical imaging.

Gland Ring Morphometry for Prostate Cancer Prognosis in Multispectral Immunofluorescence Images

Michael J. Donovan, Gerardo Fernandez, Jack Zeineh, 2014, MICCAI.

Abstract PS6-09: An AI-digital breast cancer risk discrimination platform (PreciseDx) using a representative H&E image and selected clinical variables accurately categorized patients with oncotype Dx low risk recurrence scores (RS)

M. Donovan, G. Fernandez, J. Zeineh, 2021 .

Ensemble Network for Region Identification in Breast Histopathology Slides

Bahram Marami, Marcel Prastawa, Monica Chan, 2018, ICIAR.

Antemortem detection of Parkinson’s disease pathology in peripheral biopsies using artificial intelligence

C. Adler, C. Cordon-Cardo, B. Mollenhauer, 2022, Acta Neuropathologica Communications.

BACH: Grand challenge on breast cancer histology images

Sai Saketh Chennamsetty, Minh Nguyen Nhat To, Maximilian Baust, 2018, Medical Image Anal..

Development and validation of a novel automated Gleason grade and molecular profile that define a highly predictive prostate cancer progression algorithm-based test

A. Tewari, C. Cordon-Cardo, M. Donovan, 2018, Prostate Cancer and Prostatic Diseases.