Marc L. Kessler

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it

Whom Marc L. Kessler trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. John Ashburner (in Computer Vision and Pattern Recognition)

Papers from Marc L. Kessler's perspective

Ordered by how strongly the researchers Marc L. Kessler trusts endorse each paper. Same corpus, a different order for every researcher.

1. A fast diffeomorphic image registration algorithm (NeuroImage)
2. Modeling Survival Data: Extending the Cox Model
3. The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis (Scientific Reports)
4. Radiomics: Extracting more information from medical images using advanced feature analysis (European Journal of Cancer)
5. Image registration methods: a survey (Image and Vision Computing)
6. Transparent reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. (Journal of Clinical Epidemiology)
7. Modeling Survival Data: Extending the Cox Model
8. Stein's Paradox in Statistics
9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
10. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)

Their papers

• Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries (2017) — 134 citations
• Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132 (2017) — 770 citations