Research graph
References from Toward uncertainty-aware manual delineation of brain tumours using eye-tracking and image-derived features. Local targets link to admitted publications; unresolved targets remain external evidence.
Volumetric measurements are preferred in the evaluation of mutant IDH inhibition in non-enhancing diffuse gliomas: evidence from a phase I trial of ivosidenib
10.1093/neuonc/noab256 · 2021 · External reference
Volumetric endpoints in diffuse intrinsic pontine glioma: comparison to cross-sectional measures and outcome correlations in the international DIPG/DMG registry
10.1093/neuonc/noac037 · 2022 · External reference
Intra- and inter-operator variability in MRI-based manual segmentation of HCC lesions and its impact on dosimetry
10.1186/s40658-022-00515-6 · 2022 · External reference
Intra- and inter-observer variability in contouring prostate and seminal vesicles: implications for conformal treatment planning
10.1016/s0167-8140(98)00021-8 · 1998 · External reference
Diffuse intrinsic pontine glioma: molecular landscape, evolving treatment strategies and emerging clinical trials
10.3390/jpm12050840 · 2022 · External reference
Pediatric diffuse midline gliomas: an unfinished puzzle
2022 · External reference
Imaging characteristics of pediatric diffuse midline gliomas with histone H3 K27M mutation
10.3174/ajnr.a5076 · 2017 · External reference
Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review
10.1186/s40644-022-00500-3 · 2022 · External reference
Towards consistency in pediatric brain tumor measurements: challenges, solutions, and the role of artificial intelligence-based segmentation
10.1093/neuonc/noae093 · 2024 · External reference
Unresolved reference
2024 · External reference
Interobserver variability in organ delineation on radiotherapy treatment planning for nasopharyngeal carcinoma: a dosimetric and prognostic analysis
2025 · External reference
Clinical impact of contouring variability for prostate cancer tumor boost
10.1016/j.ijrobp.2024.06.007 · 2024 · External reference
A probabilistic model of bilateral lymphatic spread in head and neck cancer
10.1038/s41598-025-99978-7 · 2025 · External reference
Probabilistic clinical target definition with nearest neighbor correlation
10.1088/1361-6560/ae2aa1 · 2026 · External reference
Unresolved reference
2016 · External reference
Unresolved reference
2024 · External reference
Leveraging network uncertainty to identify regions in rectal cancer clinical target volume auto-segmentations likely requiring manual edits
2025 · External reference
Unresolved reference
2023 · External reference
Analyzing the quality and challenges of uncertainty estimations for brain tumor segmentation
10.3389/fnins.2020.00282 · 2020 · External reference
SATSal: a multi-level self-attention based architecture for visual saliency prediction
10.1109/access.2022.3152189 · 2022 · External reference
Using coefficient to distinguish ambient/focal visual attention during cartographic tasks
10.16910/jemr.10.2.3 · 2017 · External reference
What do radiologists look for? Advances and limitations of perceptual learning in radiologic search
10.1167/jov.20.10.17 · 2020 · External reference
Eye tracking reveals expertise-related differences in the time-course of medical image inspection and diagnosis
2020 · External reference
Eye movements as an index of pathologist visual expertise: a pilot study
10.1371/journal.pone.0103447 · 2014 · External reference
The multimodal brain tumor image segmentation benchmark (BRATS)
10.1109/tmi.2014.2377694 · 2015 · External reference
BraTS-PEDs: results of the multi-consortium international pediatric brain tumor segmentation challenge 2023
10.59275/j.melba.2025-f6fg · 2025 · External reference
Unresolved reference
2015 · External reference
Response assessment in diffuse intrinsic pontine glioma: recommendations from the response assessment in pediatric neuro-oncology (RAPNO) working group
10.1016/s1470-2045(20)30166-2 · 2020 · External reference
Unresolved reference
1994 · External reference
Grad-CAM: visual explanations from deep networks via gradient-based localization
10.1007/s11263-019-01228-7 · 2019 · External reference
Interobserver variation in tumor delineation of liver metastases using magnetic resonance imaging
2024 · External reference
Unresolved reference
1995 · External reference
A threshold selection method from gray-level histograms
10.1109/tsmc.1979.4310076 · 1979 · External reference
Eye tracking measures of uncertainty during perceptual decision making
10.1016/j.ijpsycho.2017.07.008 · 2017 · External reference
Differential effects of visual uncertainty and contextual guidance on perceptual decisions: evidence from eye and mouse tracking in visual search
10.1167/16.11.28 · 2016 · External reference
Eye-tracking for assessing medical image interpretation: a pilot feasibility study comparing novice vs expert cardiologists
10.1007/s40037-019-0505-6 · 2019 · External reference
State of the art: eye-tracking studies in medical imaging
10.1109/access.2018.2851451 · 2018 · External reference
Hypermetabolism and impaired cerebrovascular reactivity beyond the standard MRI-identified tumor border indicate diffuse glioma extended tissue infiltration
2021 · External reference
Pupil diameter changes reflect difficulty and diagnostic accuracy during medical image interpretation
10.1186/s12911-016-0322-3 · 2016 · External reference
Mouse cursor movement and eye tracking data as an indicator of pathologists’ attention when viewing digital whole slide images
10.4103/2153-3539.104905 · 2012 · External reference
Eye-tracking of nodule detection in lung CT volumetric data: eye-tracking of nodule detection in lung CT data
10.1118/1.4919849 · 2015 · External reference
Informatics in radiology: what can you see in a single glance and how might this guide visual search in medical images?
10.1148/rg.331125023 · 2013 · External reference
