Publications of Ajay Patel

2023

PhD theses

1. A. Patel, "Automated Image Analysis of Cranial Non-Contrast CT", PhD thesis, 2023.
   Abstract Url

2022

Papers in international journals

1. M. Schaap, N. Cardozo, A. Patel, E. de Jong, B. van Ginneken and M. Seyger, "Image-based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks", Journal of the European Academy of Dermatology and Venereology, 2022;36(1):68-75.
   Abstract DOI Download Cited by ~16

2021

Papers in international journals

1. E. van Kempen, M. Post, M. Mannil, R. Witkam, M. ter Laan, A. Patel, F. Meijer and D. Henssen, "Performance of machine learning algorithms for glioma segmentation of brain MRI: a systematic literature review and meta-analysis", European Radiology, 2021;31:9638-9653.
   Abstract DOI PMID Cited by ~33

2020

Papers in international journals

1. M. Meijs, S. Pegge, M. Vos, A. Patel, S. van de Leemput, K. Koschmieder, M. Prokop, F. Meijer and R. Manniesing, "Cerebral Artery and Vein Segmentation in Fourdimensional CT Angiography Using Convolutional Neural Networks", Radiology: Artificial Intelligence, 2020;2(4):e190178.
   Abstract DOI Cited by ~9

2019

Papers in international journals

1. A. Patel, F. Schreuder, C. Klijn, M. Prokop, B. van Ginneken, H. Marquering, Y. Roos, M. Baharoglu, F. Meijer and R. Manniesing, "Intracerebral haemorrhage segmentation in non-contrast CT", Scientific Reports, 2019;9(1):17858.
   Abstract DOI PMID Cited by ~38
2. A. Patel, S. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing, "Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT", IEEE Access, 2019;7(1):92355-92364.
   Abstract DOI Cited by ~45
3. S. van de Leemput, M. Meijs, A. Patel, F. Meijer, B. van Ginneken and R. Manniesing, "Multiclass Brain Tissue Segmentation in 4D CT using Convolutional Neural Networks", IEEE Access, 2019;7(1):51557-51569.
   Abstract DOI Cited by ~13

2018

Papers in conference proceedings

1. A. Patel and R. Manniesing, "A convolutional neural network for intracranial hemorrhage detection in non-contrast CT", Medical Imaging, 2018;10575.
   Abstract DOI Cited by ~4
2. S. van de Leemput, A. Patel and R. Manniesing, "Full Volumetric Brain Tissue Segmentation in Non-contrast CT using Memory Efficient Convolutional LSTMs", Medical Imaging meets NeurIPS, 2018.
   Abstract Url Cited by ~1

Abstracts

1. M. Meijs, A. Patel, S. van de Leemput, B. van Ginneken, M. Prokop and R. Manniesing, "Fast, Robust and Accurate Segmentation of the Complete Cerebral Vasculature in 4D-CTA using Deep Learning", Annual Meeting of the Radiological Society of North America, 2018.
   Abstract

2017

Papers in international journals

1. M. Meijs, A. Patel, S. van de Leemput, M. Prokop, E. van Dijk, F. de Leeuw, F. Meijer, B. van Ginneken and R. Manniesing, "Robust Segmentation of the Full Cerebral Vasculature in 4D CT Images of Suspected Stroke Patients", Scientific Reports, 2017;7.
   Abstract DOI PMID Cited by ~40
2. A. Patel, B. van Ginneken, F. Meijer, E. van Dijk, M. Prokop and R. Manniesing, "Robust Cranial Cavity Segmentation in CT and CT Perfusion Images of Trauma and Suspected Stroke Patients", Medical Image Analysis, 2017;36:216-228.
   Abstract DOI PMID Download Cited by ~26

Papers in conference proceedings

1. A. Patel, S. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing, "Automatic Cerebrospinal Fluid Segmentation in Non-Contrast CT Images Using a 3D Convolutional Network", Medical Imaging, 2017;10134.
   Abstract DOI Cited by ~8

Abstracts

1. A. Patel, F. Meijer, M. Prokop, B. van Ginneken and R. Manniesing, "Robust segmentation of the cranial cavity in non-contrast CT and CT perfusion of the brain", European Congress of Radiology, 2017.
   Abstract

2016

Papers in international journals

1. E. Lens, A. Kotte, A. Patel, H. Heerkens, M. Bal, G. van Tienhoven, A. Bel, A. van der Horst and G. Meijer, "Probabilistic treatment planning for pancreatic cancer treatment: prospective incorporation of respiratory motion shows only limited dosimetric benefit", Acta Oncologica, 2016:1-7.
   Abstract DOI PMID Cited by ~7