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MEDPY FOUNDATION LABS

PUBLICATIONS

Feb 2, 2023

Artificial intelligence in radiation oncology: How far have we reached?

DOI: 10.25259/IJMIO_32_2022

Artificial intelligence in radiation oncology: How far have we reached?

Jul 31, 2021

Deep learning using Pre-NACRT imaging can predict pathological response in esophageal cancer

DOI: 10.1016/S0167-8140(21)08253-0

Deep learning using Pre-NACRT imaging can predict pathological response in esophageal cancer

Jul 31, 2021

Convolutional Neural Network to predict Deep Inspiration Breath Hold eligibility using Chest X-Ray

DOI: 10.1016/S0167-8140(21)07009-2

Convolutional Neural Network to predict Deep Inspiration Breath Hold eligibility using Chest X-Ray

Nov 1, 2020

Pathological Response Prediction To Neo-Adjuvant Chemoradiation In Esophageal Carcinoma Using Artificial Intelligence And Radiomics: An Exploratory Analysis

DOI: 10.1016/j.ijrobp.2020.07.1860

Pathological Response Prediction To Neo-Adjuvant Chemoradiation In Esophageal Carcinoma Using Artificial Intelligence And Radiomics: An Exploratory Analysis

Nov 1, 2020

Artificial Intelligence Enabled Prognostic Modelling For Thymomas

DOI: 10.1016/j.ijrobp.2020.07.256

Artificial Intelligence Enabled Prognostic Modelling For Thymomas

Dec 7, 2019

Deep neural network based prognostic modelling for lung cancer utilising radiomics and clinical data

Ref: Radiotherapy & Oncology, 141(S1):S18-S19

Deep neural network based prognostic modelling for lung cancer utilising radiomics and clinical data

Dec 1, 2019

Identifying Prognostic Groups Using Machine Learning Tools in Patients Undergoing Chemoradiation for Inoperable Locally Advanced Nonsmall Cell Lung Carcinoma

DOI: 10.1055/s-0039-3401437

Identifying Prognostic Groups Using Machine Learning Tools in Patients Undergoing Chemoradiation for Inoperable Locally Advanced Nonsmall Cell Lung Carcinoma

Dec 1, 2019

Identifying prognostic groups using machine learning tools following chemoradiation for NSCLC.

DOI: 10.1016/S0167-8140(20)30492-8

Identifying prognostic groups using machine learning tools following chemoradiation for NSCLC.

Jul 1, 2019

Application of Artificial Neural Networks for Prognostic Modeling in Lung Cancer after Combining Radiomic and Clinical Features

DOI: 10.1055/s-0039-3401438

Application of Artificial Neural Networks for Prognostic Modeling in Lung Cancer after Combining Radiomic and Clinical Features

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