Ila Sethi

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature

Clinical development and potential of photothermal and photodynamic therapies for cancer

Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study

Radiomics: Images Are More than Pictures, They Are Data

Laser ablation as focal therapy for prostate cancer

Initial assessment of safety and clinical feasibility of irreversible electroporation in the focal treatment of prostate cancer

Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores

A survey on deep learning in medical image analysis

Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

High-Voltage Electrical Pulses in Oncology: Irreversible Electroporation, Electrochemotherapy, Gene Electrotransfer, Electrofusion, and Electroimmunotherapy

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2

High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Computer-aided Detection of Prostate Cancer with MRI

Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness

Gold nanoshell-localized photothermal ablation of prostate tumors in a clinical pilot device study

Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

Artificial intelligence in cancer imaging: Clinical challenges and applications

Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet

An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification

Automated prostate cancer detection using T2‐weighted and high‐b‐value diffusion‐weighted magnetic resonance imaging

Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer

Photothermal Nanomaterials: A Powerful Light-to-Heat Converter

Computer Aided-Diagnosis of Prostate Cancer on Multiparametric MRI: A Technical Review of Current Research

Seminal Vesicle Invasion in Prostate Cancer: Evaluation by Using Multiparametric Endorectal MR Imaging

MR Imaging–guided Focal Laser Ablation for Prostate Cancer: Phase I Trial

Quantitative Analysis of Multiparametric Prostate MR Images: Differentiation between Prostate Cancer and Normal Tissue and Correlation with Gleason Score—A Computer-aided Diagnosis Development Study

High-Resolution Diffusion-Weighted Imaging of the Prostate