Jens Rittscher

Orcid: 0000-0002-8528-8298

According to our database1, Jens Rittscher authored at least 111 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SSL-CPCD: Self-Supervised Learning With Composite Pretext-Class Discrimination for Improved Generalisability in Endoscopic Image Analysis.
IEEE Trans. Medical Imaging, December, 2024

SSTFB: Leveraging self-supervised pretext learning and temporal self-attention with feature branching for real-time video polyp segmentation.
CoRR, 2024

MultiVarNet - Predicting Tumour Mutational Status at the Protein Level.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Evaluating Histopathology Foundation Models for Few-Shot Tissue Clustering: An Application to LC25000 Augmented Dataset Cleaning.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Accurate Subtyping of Lung Cancers by Modelling Class Dependencies.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models.
CoRR, 2023

Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Leveraging Inter-Annotator Disagreement for Semi-Supervised Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR, 2022

Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy.
Comput. Medical Imaging Graph., 2022

Patch-Level Instance-Group Discrimination with Pretext-Invariant Learning for Colitis Scoring.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Self-supervised Approach for a Fully Assistive Esophageal Surveillance: Quality, Anatomy and Neoplasia Guidance.
Proceedings of the Cancer Prevention Through Early Detection, 2022

Enhancing Local Context of Histology Features in Vision Transformers.
Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022

Profiling DNA Damage in 3D Histology Samples.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Active Data Enrichment by Learning What to Annotate in Digital Pathology.
Proceedings of the Cancer Prevention Through Early Detection, 2022

Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Multi-Scale Graphical Representation of Cell Environment.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
A deep learning framework for quality assessment and restoration in video endoscopy.
Medical Image Anal., 2021

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal., 2021

TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data.
F1000Research, 2021

PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment.
CoRR, 2021

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.
IEEE Access, 2021

Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Early Detection of Liver Fibrosis Using Graph Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Contrastive Representations for Continual Learning of Fine-Grained Histology Images.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

EndoUDA: A Modality Independent Segmentation Approach for Endoscopy Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Cellular Phenotypes through Supervision.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Automated Annotator: Capturing Expert Knowledge for Free.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation.
CoRR, 2020

Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning.
CoRR, 2020

A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR, 2020

Endoscopy disease detection challenge 2020.
CoRR, 2020

DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Motion induced segmentation of stone fragments in ureteroscopy video.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Improving Pathological Distribution Measurements with Bayesian Uncertainty.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Microscopic Fine-Grained Instance Classification Through Deep Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Extracting Axial Depth and Trajectory Trend Using Astigmatism, Gaussian Fitting, and CNNs for Protein Tracking.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Single-Molecule Localization Microscopy Reconstruction Using Noise2Noise for Super-Resolution Imaging of Actin Filaments.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

MI-UNet: Improved Segmentation in Ureteroscopy.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Short Trajectory Segmentation with 1D UNET Framework: Application to Secretory Vesicle Dynamics.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Capturing variations in nuclear phenotypes.
J. Comput. Sci., 2019

Endoscopy artifact detection (EAD 2019) challenge dataset.
CoRR, 2019

Protein Tracking By CNN-Based Candidate Pruning And Two-Step Linking With Bayesian Network.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Semantic Filtering Through Deep Source Separation on Microscopy Images.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Towards the Identification of Histology Based Subtypes in Prostate Cancer.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Efficient Video Indexing for Monitoring Disease Activity and Progression in the Upper Gastrointestinal Tract.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Ink Removal from Histopathology Whole Slide Images by Combining Classification, Detection and Image Generation Models.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Workshop on Patient Similitude: Combining Histopathological Images & Multiple-Scale Molecular Phenotypes (NII Shonan Meeting 2018-17).
NII Shonan Meet. Rep., 2018

Improving Whole Slide Segmentation Through Visual Context - A Systematic Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Global probabilistic models for enhancing segmentation with convolutional networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015
Cell segmentation and classification by hierarchical supervised shape ranking.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Towards quantifying the impact of cell boundary estimation on morphometric analysis for phenotypic screening.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Utilizing Phase Retardation Features for Segmenting Cells in Phase Contrast Microscopy Images.
Proceedings of the Medical Image Understanding and Analysis, 2014

Mapping for tissue based cytometry.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue.
Proc. Natl. Acad. Sci. USA, 2013

Cell segmentation and classification via unsupervised shape ranking.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Tissue segmentation and classification using graph-based unsupervised clustering.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Monitoring cardiomyocyte motionin real time through image registration and time series analysis.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis.
Medical Image Anal., 2011

Appearance-based person reidentification in camera networks: problem overview and current approaches.
J. Ambient Intell. Humaniz. Comput., 2011

Non-parametric Population Analysis of Cellular Phenotypes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Multi-class Object Layout with Unsupervised Image Classification and Object Localization.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

Methods and algorithms for extracting high-content signatures from cells, tissues, and model organisms.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Quantitative biological studies enabled by robust cell tracking.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning.
Proceedings of the Information Processing in Medical Imaging, 2011

LPSM: Fitting shape model by linear programming.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

2010
Automated Training Data Generation for Microscopy Focus Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Analysis of spatial variation of nuclear morphology in tissue microenvironments.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Spatio-temporal cell cycle phase analysis using level sets and fast marching methods.
Medical Image Anal., 2009

Coupled Minimum-Cost Flow Cell Tracking.
Proceedings of the Information Processing in Medical Imaging, 2009

A model change detection approach to dynamic scene modeling.
Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009

2008
Spatio-temporal cell segmentation and tracking for automated screening.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Unified Crowd Segmentation.
Proceedings of the Computer Vision, 2008

Methods for monitoring cellular motion and function.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Shape and Appearance Context Modeling.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

View adaptive detection and distributed site wide tracking.
Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007

2006
Computing phagocytosis index for high-throughput applications.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Spatio-temporal cell cycle analysis using 3D level set segmentation of unstained nuclei in line scan confocal fluorescence images.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Optimal Pose for Face Recognition.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Multi-Target Tracking Using Hybrid Particle Filtering.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

Activity Recognition using Visual Tracking and RFID.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

Simultaneous Estimation of Segmentation and Shape.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Detecting and counting people in surveillance applications.
Proceedings of the Advanced Video and Signal Based Surveillance, 2005

2004
Strategieflexible Entscheidungsunterstützung in der Ablaufplanung für Produzenten.
PhD thesis, 2004

Crowd Segmentation Through Emergent Labeling.
Proceedings of the Statistical Methods in Video Processing, 2004

2003
Enabling video annotation using a semantic database extended with visual knowledge.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Video Content Annotation Using Visual Analysis and a Large Semantic Knowledgebase.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Site Calibration for Large Indoor Scenes.
Proceedings of the 2003 IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2003), 2003

2002
An HMM-Based Segmentation Method for Traffic Monitoring Movies.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Towards the automatic analysis of complex human body motions.
Image Vis. Comput., 2002

2001
Guiding Random Particles by Deterministic Search.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000
Learning and Classification of Complex Dynamics.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

Schichtenmodell für die verteilte Nutzung modellgestützter Verfahren.
Proceedings of the Simulation und Visualisierung 2000 (SimVis 2000), 2000

An Integral Criterion for Detecting Boundary Edges and Textured Regions.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Statistical Foreground Modelling for Object Localisation.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

A Probabilistic Background Model for Tracking.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

1999
Classification of Human Body Motion.
Proceedings of the International Conference on Computer Vision, 1999


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