Articles with public access mandates - Rittscher JensLearn more
Not available anywhere: 9
Implementation of digital pathology into diagnostic practice: perceptions and opinions of histopathology trainees and implications for training
L Browning, R Colling, J Rittscher, L Winter, N McEntyre, C Verrill
Journal of Clinical Pathology 73 (4), 223-227, 2020
Mandates: National Institute for Health Research, UK, UK Research & Innovation
Early detection of liver fibrosis using graph convolutional networks
M Wojciechowska, S Malacrino, N Garcia Martin, H Fehri, J Rittscher
International Conference on Medical Image Computing and Computer-Assisted …, 2021
Mandates: US National Institutes of Health, Cancer Research UK, UK Engineering and …
Predicting molecular traits from tissue morphology through self-interactive multi-instance learning
Y Hu, K Sirinukunwattana, K Gaitskell, R Wood, C Verrill, J Rittscher
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Mandates: National Institute for Health Research, UK, UK Research & Innovation
Towards the Identification of Histology Based Subtypes in Prostate Cancer
A Chatrian, K Sirinukunwattana, C Verrill, J Rittscher
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies
R Wood, E Domingo, K Sirinukunwattana, MW Lafarge, VH Koelzer, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Mandates: Swiss National Science Foundation, Cancer Research UK, UK Engineering and …
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation
S Gupta, S Ali, Z Xu, B Bhattarai, B Turney, J Rittscher
International Workshop on Machine Learning in Medical Imaging, 161-170, 2022
Mandates: National Institute for Health Research, UK, European Commission
Improving pathological distribution measurements with bayesian uncertainty
KH Tam, K Sirinukunwattana, MF Soares, M Kaisar, R Ploeg, J Rittscher
International Workshop on Uncertainty for Safe Utilization of Machine …, 2020
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Evaluating Histopathology Foundation Models for Few-Shot Tissue Clustering: An Application to LC25000 Augmented Dataset Cleaning
G Batchkala, B Li, J Rittscher
MICCAI Workshop on Data Engineering in Medical Imaging, 11-21, 2024
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks
S Gao, L Browning, NK Alham, A Protheroe, K Edwards, J Hamblin, ...
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024
Mandates: UK Medical Research Council
Available somewhere: 89
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
D Jha, S Ali, NK Tomar, HD Johansen, D Johansen, J Rittscher, ...
Ieee Access 9, 40496-40510, 2021
Mandates: National Institute for Health Research, UK, Wellcome Trust, Research Council …
Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning
K Sirinukunwattana, E Domingo, SD Richman, KL Redmond, A Blake, ...
Gut 70 (3), 544-554, 2021
Mandates: Swiss National Science Foundation, Cancer Research UK, UK Engineering and …
Fanet: A feedback attention network for improved biomedical image segmentation
NK Tomar, D Jha, MA Riegler, HD Johansen, D Johansen, J Rittscher, ...
IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9375-9388, 2022
Mandates: National Institute for Health Research, UK, Research Council of Norway
Precision immunoprofiling by image analysis and artificial intelligence
VH Koelzer, K Sirinukunwattana, J Rittscher, KD Mertz
Virchows Archiv 474 (4), 511-522, 2019
Mandates: Swiss National Science Foundation, UK Engineering and Physical Sciences …
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ...
Medical image analysis 70, 102002, 2021
Mandates: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
A deep learning framework for quality assessment and restoration in video endoscopy
S Ali, F Zhou, A Bailey, B Braden, JE East, X Lu, J Rittscher
Medical image analysis 68, 101900, 2021
Mandates: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
S Ali, F Zhou, B Braden, A Bailey, S Yang, G Cheng, P Zhang, X Li, ...
Scientific reports 10 (1), 2748, 2020
Mandates: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
The use of digital pathology and image analysis in clinical trials
R Pell, K Oien, M Robinson, H Pitman, N Rajpoot, J Rittscher, D Snead, ...
The Journal of Pathology: Clinical Research 5 (2), 81-90, 2019
Mandates: Cancer Research UK, UK Medical Research Council, National Institute for …
A multi-centre polyp detection and segmentation dataset for generalisability assessment
S Ali, D Jha, N Ghatwary, S Realdon, R Cannizzaro, OE Salem, ...
Scientific Data 10 (1), 75, 2023
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Analysis of live cell images: Methods, tools and opportunities
TA Nketia, H Sailem, G Rohde, R Machiraju, J Rittscher
Methods 115, 65-79, 2017
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust, UK …
Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium …
L Browning, R Colling, E Rakha, N Rajpoot, J Rittscher, JA James, ...
Journal of clinical pathology 74 (7), 443-447, 2021
Mandates: National Institute for Health Research, UK, UK Research & Innovation
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