Michael J Baine

10PUBLICATIONS
11CO-AUTHORS
Predictive and prognostic markersDeep learningMedical biotechnology diagnostics (incl. biosensors)Cancer diagnosisCancer therapy (excl. chemotherapy and radiation therapy)
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Publications (10)

|Sep 14, 2024
Heme Oxygenase-1 and Prostate Cancer: Function, Regulation, and Implication in Cancer Therapy.

Ramia J Salloom, Iman M Ahmad, Dania Z Sahtout

|May 25, 2024
Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography-Derived Radiomic Models in Prostate Cancer Prognostication.

Linda My Huynh, Shea Swanson, Sophia Cima

|Dec 09, 2023
Multi-Institutional Development and Validation of a Radiomic Model to Predict Prostate Cancer Recurrence Following Radical Prostatectomy.

Linda My Huynh, Benjamin Bonebrake, Joshua Tran

|Dec 09, 2023
3DGAUnet: 3D Generative Adversarial Networks with a 3D U-Net Based Generator to Achieve the Accurate and Effective Synthesis of Clinical Tumor Image Data for Pancreatic Cancer.

Yu Shi, Hannah Tang, Michael J Baine

|Mar 29, 2023
The Use of MRI-Derived Radiomic Models in Prostate Cancer Risk Stratification: A Critical Review of Contemporary Literature.

Linda My Huynh, Yeagyeong Hwang, Olivia Taylor

|Apr 12, 2022
Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications.

Kiersten Preuss, Nate Thach, Xiaoying Liang

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Frequent Collaborators

4 joint publications

Dandan Zheng

2 joint publications

Yu Shi

2 joint publications

Hongfeng Yu

2 joint publications

Linda My Huynh