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7 in total

1. PET imaging for prediction of response to therapy and outcome in oesophageal carcinoma.

Authors: Sue Chua; John Dickson; Ashley M Groves
Journal: Eur J Nucl Med Mol Imaging Date: 2011-09 Impact factor: 9.236

2. Hybrid positron emission tomography segmentation of heterogeneous lung tumors using 3D Slicer: improved GrowCut algorithm with threshold initialization.

Authors: Hannah Mary T Thomas; Devadhas Devakumar; Balukrishna Sasidharan; Stephen R Bowen; Danie Kingslin Heck; E James Jebaseelan Samuel
Journal: J Med Imaging (Bellingham) Date: 2017-01-23

3. Impact of [¹⁸F]FDG PET imaging parameters on automatic tumour delineation: need for improved tumour delineation methodology.

Authors: Patsuree Cheebsumon; Maqsood Yaqub; Floris H P van Velden; Otto S Hoekstra; Adriaan A Lammertsma; Ronald Boellaard
Journal: Eur J Nucl Med Mol Imaging Date: 2011-08-20 Impact factor: 9.236

4. Impact of tumour motion compensation and delineation methods on FDG PET-based dose painting plan quality for NSCLC radiation therapy.

Authors: Hannah Mary Thomas; Paul E Kinahan; James Jebaseelan E Samuel; Stephen R Bowen
Journal: J Med Imaging Radiat Oncol Date: 2017-11-28 Impact factor: 1.735

Autocontouring versus manual contouring.

1. PET imaging for prediction of response to therapy and outcome in oesophageal carcinoma.

2. Hybrid positron emission tomography segmentation of heterogeneous lung tumors using 3D Slicer: improved GrowCut algorithm with threshold initialization.

3. Impact of [¹⁸F]FDG PET imaging parameters on automatic tumour delineation: need for improved tumour delineation methodology.

4. Impact of tumour motion compensation and delineation methods on FDG PET-based dose painting plan quality for NSCLC radiation therapy.

5. Insight on automated lesion delineation methods for PET data.

6. A Complex Radiomic Signature in Luminal Breast Cancer from a Weighted Statistical Framework: A Pilot Study.

7. Adaptive threshold segmentation of pituitary adenomas from FDG PET images for radiosurgery.