Jens Rittscher

133 papers A* 3A 1B 6Journal 44Unranked 77

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AdaFusion: Prompt-Guided Inference with Adaptive Fusion of Pathology Foundation Models. CoRR Yuxiang Xiao, Yang Hu, Bin Li, Tianyang Zhang, Zexi Li, Huazhu Fu, Jens Rittscher, Kaixiang Yang
2025	—	`conf`	CtrlEndoDiff: Diffusion-Based Synthetic Image Generation for Enhanced ACF Segmentation. DGM4MICCAI@MICCAI Rayan Albokhari, Bappaditya Debnath, Darrien Henry, Michael Johnson, Adam Bailey, James E. East, Jens Rittscher
2025	J	`jnl`	Editorial for Special Issue on Foundation Models for Medical Image Analysis. Medical Image Anal. Xiaosong Wang, Dequan Wang, Xiaoxiao Li, Jens Rittscher, Dimitris N. Metaxas, Shaoting Zhang
2025	J	`jnl`	Histology-informed tiling of whole tissue sections improves the interpretability and predictability of cancer relapse and genetic alterations. CoRR Willem Bonnaffé, Yang Hu, Andrea Chatrian, Mengran Fan, Stefano Malacrino, Sandy Figiel, CRUK ICGC Prostate Group, Srinivasa R. Rao, Richard Colling, Richard J. Bryant, Freddie C. Hamdy, Dan J. Woodcock, Ian Mills, Clare Verrill, Jens Rittscher
2025	J	`jnl`	Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology. Medical Image Anal. Yang Hu, Korsuk Sirinukunwattana, Bin Li, Kezia Gaitskell, Enric Domingo, Willem Bonnaffé, Marta Wojciechowska, Ruby Wood, Nasullah Khalid Alham, Stefano Malacrino, Dan J. Woodcock, Clare Verrill, Ahmed Ahmed, Jens Rittscher
2025	—	`conf`	Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints. MICCAI (11) Muhammad Dawood, Emily Thomas, Rosalin Cooper, Carlo Pescia, Anna Sozanska, Hosuk Ryou, Daniel Royston, Jens Rittscher
2024	—	`conf`	Accurate Subtyping of Lung Cancers by Modelling Class Dependencies. ISBI George Batchkala, Bin Li, Mengran Fan, Mark McCole, Cecilia Brambilla, Fergus Gleeson, Jens Rittscher
2024	—	`conf`	Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks. ISBI Shangqi Gao, Lisa Browning, Nasullah Khalid Alham, Andrew Protheroe, Keir Edwards, Josh Hamblin, Jens Rittscher, Clare Verrill
2024	—	`conf`	Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images. CVPR Workshops Ruby Wood, Enric Domingo, Viktor Hendrik Koelzer, Timothy S. Maughan, Jens Rittscher
2024	—	`conf`	Evaluating Histopathology Foundation Models for Few-Shot Tissue Clustering: An Application to LC25000 Augmented Dataset Cleaning. DEMI@MICCAI George Batchkala, Bin Li, Jens Rittscher
2024	—	`conf`	MultiVarNet - Predicting Tumour Mutational Status at the Protein Level. MICCAI (3) Louis-Oscar Morel, Muhammad Muzammel, Nathan Vinçon, Valentin Derangère, Sylvain Ladoire, Jens Rittscher
2024	—	`conf`	Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders. CVPR Workshops Alexander Sauer, Yuan Tian, Joerg Bewersdorf, Jens Rittscher
2024	J	`jnl`	SSL-CPCD: Self-Supervised Learning With Composite Pretext-Class Discrimination for Improved Generalisability in Endoscopic Image Analysis. IEEE Trans. Medical Imaging Ziang Xu, Jens Rittscher, Sharib Ali
2024	J	`jnl`	SSTFB: Leveraging self-supervised pretext learning and temporal self-attention with feature branching for real-time video polyp segmentation. CoRR Ziang Xu, Jens Rittscher, Sharib Ali
2024	J	`jnl`	Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Generative Latent Priors. CoRR Ziang Xu, Bin Li, Yang Hu, Chenyu Zhang, James East, Sharib Ali, Jens Rittscher
2023	J	`jnl`	Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models. CoRR Willem Bonnaffé, CRUK ICGC Prostate Group, Freddie Hamdy, Yang Hu, Ian Mills, Jens Rittscher, Clare Verrill, Dan J. Woodcock
2023	J	`jnl`	FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
2023	—	`conf`	Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies. MICCAI (5) Ruby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher
2023	—	`conf`	Leveraging Inter-Annotator Disagreement for Semi-Supervised Segmentation. ISBI Alexander Sauer, Mariia Dmitrieva, Hongqing Han, Jens Rittscher
2023	J	`jnl`	SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis. CoRR Ziang Xu, Jens Rittscher, Sharib Ali
2022	—	`conf`	A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. EMBC Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska, Leticia Campo, Helen Jones, David C. Wedge, Chris Holmes, Korsuk Sirinukunwattana, Heba Sailem, Clare Verrill, Jens Rittscher
2022	J	`jnl`	A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. CoRR Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska, Leticia Campo, Helen Jones, David C. Wedge, Chris Holmes, Korsuk Sirinukunwattana, Heba Sailem, Clare Verrill, Jens Rittscher
2022	—	`conf`	Active Data Enrichment by Learning What to Annotate in Digital Pathology. CaPTion@MICCAI George Batchkala, Tapabrata Chakraborti, Mark McCole, Fergus Gleeson, Jens Rittscher
2022	—	`conf`	Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring. ISBI Ziang Xu, Sharib Ali, James E. East, Jens Rittscher
2022	J	`jnl`	Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. CoRR Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
2022	—	`conf`	Enhancing Local Context of Histology Features in Vision Transformers. AIIIMA/MIABID@MICCAI Ruby Wood, Korsuk Sirinukunwattana, Enric Domingo, Alexander Sauer, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher
2022	—	`conf`	Multi-Scale Graphical Representation of Cell Environment. EMBC Helen Theissen, Tapabrata Chakraborty, Stefano Malacrino, Daniel Royston, Jens Rittscher
2022	J	`jnl`	Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy. Comput. Medical Imaging Graph. Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher
2022	—	`conf`	Patch-Level Instance-Group Discrimination with Pretext-Invariant Learning for Colitis Scoring. MLMI@MICCAI Ziang Xu, Sharib Ali, Soumya Gupta, Simon Leedham, James E. East, Jens Rittscher
2022	J	`jnl`	Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring. CoRR Ziang Xu, Sharib Ali, Soumya Gupta, Simon Leedham, James E. East, Jens Rittscher
2022	—	`conf`	Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance Learning. MICCAI (2) Yang Hu, Korsuk Sirinukunwattana, Kezia Gaitskell, Ruby Wood, Clare Verrill, Jens Rittscher
2022	—	`conf`	Profiling DNA Damage in 3D Histology Samples. MOVI@MICCAI Kristofer E. delas Peñas, Ralf Haeusler, Sally Feng, Valentin Magidson, Mariia Dmitrieva, David Wink, Stephen J. Lockett, Robert J. Kinders, Jens Rittscher
2022	—	`conf`	Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy. CVPR Workshops Hongqing Han, Mariia Dmitrieva, Alexander Sauer, Ka Ho Tam, Jens Rittscher
2022	—	`conf`	Self-supervised Approach for a Fully Assistive Esophageal Surveillance: Quality, Anatomy and Neoplasia Guidance. CaPTion@MICCAI Ziang Xu, Sharib Ali, Numan Celik, Adam Bailey, Barbara Braden, Jens Rittscher
2022	—	`conf`	UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation. MLMI@MICCAI Soumya Gupta, Sharib Ali, Ziang Xu, Binod Bhattarai, Ben Turney, Jens Rittscher
2021	J	`jnl`	A deep learning framework for quality assessment and restoration in video endoscopy. Medical Image Anal. Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E. East, Xin Lu, Jens Rittscher
2021	—	`conf`	Automated Annotator: Capturing Expert Knowledge for Free. EMBC Sebastian Elmes, Tapabrata Chakraborti, Mengran Fan, Holm H. Uhlig, Jens Rittscher
2021	—	`conf`	Contrastive Representations for Continual Learning of Fine-Grained Histology Images. MLMI@MICCAI Tapabrata Chakraborti, Fergus Gleeson, Jens Rittscher
2021	J	`jnl`	Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
2021	—	`conf`	Early Detection of Liver Fibrosis Using Graph Convolutional Networks. MICCAI (8) Marta Wojciechowska, Stefano Malacrino, Natalia Garcia Martin, Hamid Fehri, Jens Rittscher
2021	—	`conf`	EndoUDA: A Modality Independent Segmentation Approach for Endoscopy Imaging. MICCAI (3) Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher
2021	J	`jnl`	EndoUDA: A modality independent segmentation approach for endoscopy imaging. CoRR Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher
2021	—	`conf`	Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection. MIUA Tamal Chowdhury, Angad R. S. Bajwa, Tapabrata Chakraborti, Jens Rittscher, Umapada Pal
2021	J	`jnl`	FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. CoRR Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
2021	—	`conf`	Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning. MIUA Ziang Xu, Sharib Ali, Soumya Gupta, Numan Celik, Jens Rittscher
2021	—	`conf`	Learning Cellular Phenotypes through Supervision. EMBC Helen Theissen, Tapabrata Chakraborti, Stefano Malacrino, Korsuk Sirinukunwattana, Daniel Royston, Jens Rittscher
2021	J	`jnl`	Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy. CoRR Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher
2021	J	`jnl`	PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment. CoRR Sharib Ali, Debesh Jha, Noha M. Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem, Dominique Lamarque, Christian Daul, Kim V. Anonsen, Michael A. Riegler, Pål Halvorsen, Jens Rittscher, Thomas de Lange, James E. East
2021	J	`jnl`	Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen
2021	J	`jnl`	TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data. F1000Research Francesco Reina, John M. A. Wigg, Mariia Dmitrieva, Joël Lefebvre, Jens Rittscher, Christian Eggeling
2020	J	`jnl`	A translational pathway of deep learning methods in GastroIntestinal Endoscopy. CoRR Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
2020	—	`conf`	Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. MLMI@MICCAI Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher
2020	J	`jnl`	Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. CoRR Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher
2020	—	`conf`	DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks. MIUA Andrew Torr, Berke Doga Basaran, Julia Sero, Jens Rittscher, Heba Sailem
2020	J	`jnl`	Endoscopy disease detection challenge 2020. CoRR Sharib Ali, Noha M. Ghatwary, Barbara Braden, Dominique Lamarque, Adam Bailey, Stefano Realdon, Renato Cannizzaro, Jens Rittscher, Christian Daul, James E. East
2020	—	`conf`	Extracting Axial Depth and Trajectory Trend Using Astigmatism, Gaussian Fitting, and CNNs for Protein Tracking. ISBI Kristofer delas Peñas, Mariia Dmitrieva, Joël Lefebvre, Helen L. Zenner, Edward Allgeyer, Martin Booth, Daniel St Johnston, Jens Rittscher
2020	—	`conf`	Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention. ISBI Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
2020	—	`conf`	Improving Pathological Distribution Measurements with Bayesian Uncertainty. UNSURE/GRAIL@MICCAI Ka Ho Tam, Korsuk Sirinukunwattana, Maria F. Soares, Maria Kaisar, Rutger Ploeg, Jens Rittscher
2020	—	`conf`	MI-UNet: Improved Segmentation in Ureteroscopy. ISBI Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher
2020	—	`conf`	Microscopic Fine-Grained Instance Classification Through Deep Attention. MICCAI (5) Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
2020	J	`jnl`	Microscopic fine-grained instance classification through deep attention. CoRR Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
2020	—	`conf`	Motion induced segmentation of stone fragments in ureteroscopy video. Image-Guided Procedures Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher
2020	—	`ed.`	Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, EndoCV@ISBI 2020, Iowa City, Iowa, USA, 3rd April 2020 EndoCV Sharib Ali, Christian Daul, Jens Rittscher, Danail Stoyanov, Enrico Grisan
2020	J	`jnl`	Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning. CoRR Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen
2020	—	`conf`	Short Trajectory Segmentation with 1D UNET Framework: Application to Secretory Vesicle Dynamics. ISBI Mariia Dmitrieva, Joël Lefebvre, Kristofer delas Peñas, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher
2020	—	`conf`	Single-Molecule Localization Microscopy Reconstruction Using Noise2Noise for Super-Resolution Imaging of Actin Filaments. ISBI Joël Lefebvre, Avelino Javer, Mariia Dmitrieva, Jens Rittscher, Bohdan Lewków, Edward Allgeyer, George Sirinakis, Daniel St Johnston
2020	J	`jnl`	Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation. CoRR Numan Celik, Soumya Gupta, Sharib Ali, Jens Rittscher
2019	J	`jnl`	A deep learning framework for quality assessment and restoration in video endoscopy. CoRR Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E. East, Xin Lu, Jens Rittscher
2019	J	`jnl`	Capturing variations in nuclear phenotypes. J. Comput. Sci. Sundaresan Raman, Shantanu Singh, Thierry Pécot, Enrico Caserta, Kun Huang, Jens Rittscher, Gustavo Leone, Raghu Machiraju
2019	—	`conf`	Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping. MLMI@MICCAI Sharib Ali, Jens Rittscher
2019	J	`jnl`	Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping. CoRR Sharib Ali, Jens Rittscher
2019	—	`conf`	Efficient Video Indexing for Monitoring Disease Activity and Progression in the Upper Gastrointestinal Tract. ISBI Sharib Ali, Jens Rittscher
2019	J	`jnl`	Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract. CoRR Sharib Ali, Jens Rittscher
2019	J	`jnl`	Endoscopy artifact detection (EAD 2019) challenge dataset. CoRR Sharib Ali, Felix Zhou, Christian Daul, Barbara Braden, Adam Bailey, Stefano Realdon, James E. East, Georges Wagnières, Victor Loschenov, Enrico Grisan, Walter Blondel, Jens Rittscher
2019	—	`conf`	Ink Removal from Histopathology Whole Slide Images by Combining Classification, Detection and Image Generation Models. ISBI Sharib Ali, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher
2019	J	`jnl`	Ink removal from histopathology whole slide images by combining classification, detection and image generation models. CoRR Sharib Ali, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher
2019	—	`conf`	Protein Tracking By CNN-Based Candidate Pruning And Two-Step Linking With Bayesian Network. MLSP Mariia Dmitrieva, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher
2019	—	`conf`	Semantic Filtering Through Deep Source Separation on Microscopy Images. MLMI@MICCAI Avelino Javer, Jens Rittscher
2019	J	`jnl`	Semantic filtering through deep source separation on microscopy images. CoRR Avelino Javer, Jens Rittscher
2019	—	`conf`	Towards the Identification of Histology Based Subtypes in Prostate Cancer. ISBI Andrea Chatrian, Korsuk Sirinukunwattana, Clare Verrill, Jens Rittscher
2018	—	`conf`	Global probabilistic models for enhancing segmentation with convolutional networks. ISBI Mengran Fan, Jens Rittscher
2018	—	`conf`	Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics. ECCV Workshops (6) Avelino Javer, André E. X. Brown, Iasonas Kokkinos, Jens Rittscher
2018	—	`conf`	Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. MICCAI (2) Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher
2018	J	`jnl`	Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. CoRR Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher
2018	J	`jnl`	Workshop on Patient Similitude: Combining Histopathological Images & Multiple-Scale Molecular Phenotypes (NII Shonan Meeting 2018-17). NII Shonan Meet. Rep. Raghu Machiraju, Jens Rittscher, Motonori Ota
2017	—	`conf`	Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning. ICCV Workshops Heba Sailem, Mar Arias-Garcia, Chris Bakal, Andrew Zisserman, Jens Rittscher
2015	—	`conf`	Cell segmentation and classification by hierarchical supervised shape ranking. ISBI Alberto Santamaría-Pang, Jens Rittscher, Michael J. Gerdes, Dirk Ryan Padfield
2015	—	`conf`	Towards quantifying the impact of cell boundary estimation on morphometric analysis for phenotypic screening. ISBI Thomas A. Nketia, J. Alison Noble, Jens Rittscher
2014	—	`conf`	Mapping for tissue based cytometry. ISBI Jens Rittscher, Alberto Santamaría-Pang
2014	—	`conf`	Utilizing Phase Retardation Features for Segmenting Cells in Phase Contrast Microscopy Images. MIUA Thomas A. Nketia, Jens Rittscher, J. Alison Noble
2013	—	`conf`	Cell segmentation and classification via unsupervised shape ranking. ISBI Alberto Santamaría-Pang, Yuchi Huang, Jens Rittscher
2013	J	`jnl`	Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue. Proc. Natl. Acad. Sci. USA Michael J. Gerdes, Christopher J. Sevinsky, Anup Sood, Sudeshna Adak, Musodiq O. Bello, Alexander Bordwell, Ali Can, Alex Corwin, Sean Dinn, Robert Filkins, Denise Hollman, Vidya Kamath, Sireesha Kaanumalle, Kevin B. Kenny, Melinda Larsen, Michael Lazare, Qing Li, Christina Lowes, Colin C. McCulloch, Elizabeth McDonough, Michael Montalto, Zhengyu Pang, Jens Rittscher, Alberto Santamaría-Pang, Brion D. Sarachan, Maximilian L. Seel, Antti Seppo, Kashan Shaikh, Yunxia Sui, Jingyu Zhang, Fiona Ginty
2012	—	`conf`	Monitoring cardiomyocyte motionin real time through image registration and time series analysis. ISBI Xiaofeng Liu, Satish G. Iyengar, Jens Rittscher
2012	—	`conf`	Tissue segmentation and classification using graph-based unsupervised clustering. ISBI Daniel Margolis, Alberto Santamaría-Pang, Jens Rittscher
2011	J	`jnl`	Appearance-based person reidentification in camera networks: problem overview and current approaches. J. Ambient Intell. Humaniz. Comput. Gianfranco Doretto, Thomas Sebastian, Peter H. Tu, Jens Rittscher
2011	J	`jnl`	Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis. Medical Image Anal. Dirk Ryan Padfield, Jens Rittscher, Badrinath Roysam
2011	—	`conf`	Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning. IPMI Shantanu Singh, Firdaus Janoos, Thierry Pécot, Enrico Caserta, Gustavo Leone, Jens Rittscher, Raghu Machiraju
2011	B	`conf`	LPSM: Fitting shape model by linear programming. FG Jilin Tu, Brandon Laflen, Xiaoming Liu, Musodiq O. Bello, Jens Rittscher, Peter H. Tu
2011	—	`conf`	Methods and algorithms for extracting high-content signatures from cells, tissues, and model organisms. ISBI Jens Rittscher, Dirk Ryan Padfield, A. Santamaria, J. Tu, Ali Can, Musodiq O. Bello, Dashan Gao, Anup Sood, Michael J. Gerdes, Fiona Ginty
2011	—	`conf`	Multi-class Object Layout with Unsupervised Image Classification and Object Localization. ISVC (1) Ser-Nam Lim, Gianfranco Doretto, Jens Rittscher
2011	—	`conf`	Non-parametric Population Analysis of Cellular Phenotypes. MICCAI (2) Shantanu Singh, Firdaus Janoos, Thierry Pécot, Enrico Caserta, Kun Huang, Jens Rittscher, Gustavo Leone, Raghu Machiraju
2011	—	`conf`	Quantitative biological studies enabled by robust cell tracking. ISBI Dirk Ryan Padfield, Jens Rittscher, Badrinath Roysam
2010	—	`conf`	Analysis of spatial variation of nuclear morphology in tissue microenvironments. ISBI Shantanu Singh, Sundaresan Raman, Enrico Caserta, Gustavo Leone, Michael C. Ostrowski, Jens Rittscher, Raghu Machiraju
2010	—	`conf`	Automated Training Data Generation for Microscopy Focus Classification. MICCAI (2) Dashan Gao, Dirk Ryan Padfield, Jens Rittscher, Richard McKay
2009	B	`conf`	A model change detection approach to dynamic scene modeling. AVSS Seon Joo Kim, Gianfranco Doretto, Jens Rittscher, Peter H. Tu, Nils Krahnstoever, Marc Pollefeys
2009	—	`conf`	Coupled Minimum-Cost Flow Cell Tracking. IPMI Dirk Ryan Padfield, Jens Rittscher, Badrinath Roysam
2009	J	`jnl`	Spatio-temporal cell cycle phase analysis using level sets and fast marching methods. Medical Image Anal. Dirk Ryan Padfield, Jens Rittscher, Nick Thomas, Badrinath Roysam
2008	—	`conf`	Methods for monitoring cellular motion and function. ACSCC Dirk Ryan Padfield, Jens Rittscher, Badrinath Roysam
2008	—	`conf`	Spatio-temporal cell segmentation and tracking for automated screening. ISBI Dirk Ryan Padfield, Jens Rittscher, Badrinath Roysam
2008	—	`conf`	Unified Crowd Segmentation. ECCV (4) Peter H. Tu, Thomas Sebastian, Gianfranco Doretto, Nils Krahnstoever, Jens Rittscher, Ting Yu
2007	A*	`conf`	Shape and Appearance Context Modeling. ICCV Xiaogang Wang, Gianfranco Doretto, Thomas Sebastian, Jens Rittscher, Peter H. Tu
2007	B	`conf`	View adaptive detection and distributed site wide tracking. AVSS Peter H. Tu, Nils Krahnstoever, Jens Rittscher
2006	—	`conf`	Computing phagocytosis index for high-throughput applications. ISBI Thomas Sebastian, Jens Rittscher, Liming Yu
2006	—	`conf`	Optimal Pose for Face Recognition. CVPR (2) Xiaoming Liu, Jens Rittscher, Tsuhan Chen
2006	—	`conf`	Spatio-temporal cell cycle analysis using 3D level set segmentation of unstained nuclei in line scan confocal fluorescence images. ISBI Dirk Ryan Padfield, Jens Rittscher, Thomas Sebastian, Nick Thomas, Badrinath Roysam
2005	—	`conf`	Activity Recognition using Visual Tracking and RFID. WACV/MOTION Nils Krahnstoever, Jens Rittscher, Peter H. Tu, Kevin Chean, Harold (Tom) Tomlinson
2005	B	`conf`	Detecting and counting people in surveillance applications. AVSS Xiaoming Liu, Peter Henry Tu, Jens Rittscher, A. G. Amitha Perera, Nils Krahnstoever
2005	—	`conf`	Multi-Target Tracking Using Hybrid Particle Filtering. WACV/MOTION Jens Rittscher, Nils Krahnstoever, Luis Galup
2005	—	`conf`	Simultaneous Estimation of Segmentation and Shape. CVPR (2) Jens Rittscher, Peter H. Tu, Nils Krahnstoever
2004	—	`conf`	Crowd Segmentation Through Emergent Labeling. ECCV Workshop SMVP Peter H. Tu, Jens Rittscher
2004	—	`—`	Strategieflexible Entscheidungsunterstützung in der Ablaufplanung für Produzenten. Jens Rittscher
2003	A	`conf`	Enabling video annotation using a semantic database extended with visual knowledge. ICME Gees C. Stein, Jens Rittscher, Anthony Hoogs
2003	B	`conf`	Site Calibration for Large Indoor Scenes. AVSS Peter H. Tu, Jens Rittscher, Timothy P. Kelliher
2003	—	`conf`	Video Content Annotation Using Visual Analysis and a Large Semantic Knowledgebase. CVPR (2) Anthony Hoogs, Jens Rittscher, Gees C. Stein, John Schmiederer
2002	J	`jnl`	An HMM-Based Segmentation Method for Traffic Monitoring Movies. IEEE Trans. Pattern Anal. Mach. Intell. Jien Kato, Toyohide Watanabe, Sébastien Joga, Jens Rittscher, Andrew Blake
2002	J	`jnl`	Towards the automatic analysis of complex human body motions. Image Vis. Comput. Jens Rittscher, Andrew Blake, Stephen J. Roberts
2001	A*	`conf`	Guiding Random Particles by Deterministic Search. ICCV Josephine Sullivan, Jens Rittscher
2000	—	`conf`	A Probabilistic Background Model for Tracking. ECCV (2) Jens Rittscher, Jien Kato, Sébastien Joga, Andrew Blake
2000	B	`conf`	An Integral Criterion for Detecting Boundary Edges and Textured Regions. ICPR Jens Rittscher, Josephine Sullivan
2000	J	`jnl`	Learning and Classification of Complex Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. Ben North, Andrew Blake, Michael Isard, Jens Rittscher
2000	—	`conf`	Schichtenmodell für die verteilte Nutzung modellgestützter Verfahren. SimVis Ulrich Jessen, Jens Rittscher, Ingo Scholz, Sigrid Wenzel
2000	—	`conf`	Statistical Foreground Modelling for Object Localisation. ECCV (2) Josephine Sullivan, Andrew Blake, Jens Rittscher
1999	A*	`conf`	Classification of Human Body Motion. ICCV Jens Rittscher, Andrew Blake