Authors: Ke Colin Huang, Zirui Jiang, Joshua Low, Christopher F. Njeh, Oluwaseyi Oderinde, Yong Yue
Affiliation: Purdue University, Indiana University School of Medicine, Department of Radiation Oncology
Abstract Preview: Purpose: Enhancing the accuracy of tumor response predictions enables the development of tailored therapeutic strategies for patients with breast cancer (BCa). In this study, we developed deep-radiomi...
Authors: Adebayo Abe, Samuel Olaolu Adeneye, Bidemi I. Akinlade, Inioluwa Damilola Ariyo, Sylvester Entonu, Muhammad Habeebu, Adedayo O. Joseph, Oluwaseyi Oderinde, Oluwadara Ojediran, Margaret Dideolu Taiwo
Affiliation: University of Ibadan, University of Lagos, Missouri University of Science and Technology, Purdue University, NSIA-LUTH Cancer Center, University of Lagos, NSIA-LUTH Cancer Centre
Abstract Preview: Purpose:
Spatially Fractionated Radiation Therapy (SFRT) is an advanced radiotherapy technique designed to deliver highly heterogeneous radiation doses, aiming to optimize tumor control while minim...
Authors: Makunda Aryal, Gregory Bartlett, David D. Campos, Ke Colin Huang, Sook Kien Ng, Christopher F. Njeh, Oluwaseyi Oderinde, Edwin Quashie, Ashok Tiwari, Yong Yue
Affiliation: Purdue University, Department of Radiation Oncology, Indiana University, Indiana University, Indiana University School of Medicine, Department of Radiation Oncology
Abstract Preview: Purpose:
Linear accelerator-based single-isocenter Stereotactic Radiosurgery (SRS) is widely used for treating brain metastases due to its efficiency, reduced treatment time, and lower imaging dose...
Authors: Rashmi Bhaskara, Oluwaseyi Oderinde
Affiliation: Purdue University
Abstract Preview: Purpose: This study proposes a novel approach to overcoming CBCT image quality limitations by developing an improved synthetic CT (sCT) generation method based on a CycleGAN architecture using Vision ...
Authors: Girish Bal, Ke Colin Huang, Christopher F. Njeh, Oluwaseyi Oderinde, Yong Yue
Affiliation: Purdue University, RefleXion Medical, Indiana University School of Medicine, Department of Radiation Oncology
Abstract Preview: Purpose: Biology-guided radiotherapy (BgRT) uses real-time positron emission tomography (PET) signals to precisely direct radiotherapy beamlets. The success of BgRT planning and delivery relies on PET...
Authors: Rashmi Bhaskara, Shravan Bhavsar, Ananth Grama, Oluwaseyi Oderinde, Shourya Verma
Affiliation: Purdue University
Abstract Preview: Generating Synthetic Positron Emission Tomography from Computed Tomography using Lightweight Diffusion Model for Head and Neck Cancer
Purpose: To generate synthetic PET tumor avidity segments direc...
Authors: Maya Ataya, Clint Bahler, Ramotallah Dami Jubril, Michael Koch, Oluwaseyi Oderinde, Mark Tann
Affiliation: Purdue University, epartment of Urology, Indiana University School of Medicine, Department of Urology, Indiana University School of Medicine, Department of Radiology and Imaging Sciences, Indiana University School of Medicine
Abstract Preview: Purpose:
To investigate racial differences in the detection of biochemical recurrence (BCR) using 68Ga-PSMA-11 PET/CT, known for its improved sensitivity and specificity in patients after radical p...
Authors: Clint Bahler, Ruchika Reddy Chimmula, Harrison Louis Love, Oluwaseyi Oderinde, Courtney Yong
Affiliation: Purdue University, Department of Urology, Indiana University School of Medicine, Advanced Molecular Imaging in Radiotherapy (AdMIRe) Research Laboratory, School of Health Sciences, Purdue University
Abstract Preview: Purpose: Prostate cancer (PCa) is a common malignancy in men, and predicting biochemical recurrence (BCR) is crucial for guiding treatment decisions. Integrating multimodal data, including clinical, i...
Authors: Waleed Mutlaq Almutairi, Ke Colin Huang, Vishwas Mukundan, Christopher F. Njeh, Oluwaseyi Oderinde, Yong Yue
Affiliation: Purdue University, Indiana University School of Medicine, Department of Radiation Oncology, Advanced Molecular Imaging in Radiotherapy (AdMIRe) Research Laboratory, Purdue University, West Lafayette, Indiana, USA
Abstract Preview: Purpose:
This study aimed to develop a machine learning (ML) model for early prediction of chemoradiotherapy (CRT) response in order to enhance personalized treatment selection for oral or orophary...