Jens Rittscher

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 72

Top Venues

Dortmund University of Technology (PHD)

Education History

Dortmund University of Technology

PHD

Publications

Willem Bonnaffé, CRUK ICGC Prostate Group, Freddie Hamdy, Yang Hu, Ian Mills, Jens Rittscher, Clare Verrill, Dan J. Woodcock
Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models. CoRR (2023)
Alexander Sauer, Mariia Dmitrieva, Hongqing Han, Jens Rittscher
Leveraging Inter-Annotator Disagreement for Semi-Supervised Segmentation. ISBI (2023)
Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Ruby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher
Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies. MICCAI (5) (2023)
Ziang Xu, Jens Rittscher, Sharib Ali
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis. CoRR (2023)
Soumya Gupta, Sharib Ali, Ziang Xu, Binod Bhattarai, Ben Turney, Jens Rittscher
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation. MLMI@MICCAI (2022)
Ziang Xu, Sharib Ali, Soumya Gupta, Simon Leedham, James E. East, Jens Rittscher
Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring. CoRR (2022)
Ruby Wood, Korsuk Sirinukunwattana, Enric Domingo, Alexander Sauer, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher
Enhancing Local Context of Histology Features in Vision Transformers. AIIIMA/MIABID@MICCAI (2022)
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
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. CoRR (2022)
George Batchkala, Tapabrata Chakraborti, Mark McCole, Fergus Gleeson, Jens Rittscher
Active Data Enrichment by Learning What to Annotate in Digital Pathology. CaPTion@MICCAI (2022)
Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska, Leticia Campo, Helen Jones, David C. Wedge, Chris Holmes, Korsuk Sirinukunwattana, Heba Sailem, Clare Verrill, Jens Rittscher
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. CoRR (2022)
Ziang Xu, Sharib Ali, James E. East, Jens Rittscher
Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring. ISBI (2022)
Yang Hu, Korsuk Sirinukunwattana, Kezia Gaitskell, Ruby Wood, Clare Verrill, Jens Rittscher
Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance Learning. MICCAI (2) (2022)
Helen Theissen, Tapabrata Chakraborty, Stefano Malacrino, Daniel Royston, Jens Rittscher
Multi-Scale Graphical Representation of Cell Environment. EMBC (2022)
Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy. Comput. Medical Imaging Graph. 101 (2022)
Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska, Leticia Campo, Helen Jones, David C. Wedge, Chris Holmes, Korsuk Sirinukunwattana, Heba Sailem, Clare Verrill, Jens Rittscher
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. EMBC (2022)
Ziang Xu, Sharib Ali, Numan Celik, Adam Bailey, Barbara Braden, Jens Rittscher
Self-supervised Approach for a Fully Assistive Esophageal Surveillance: Quality, Anatomy and Neoplasia Guidance. CaPTion@MICCAI (2022)
Kristofer E. delas Peñas, Ralf Haeusler, Sally Feng, Valentin Magidson, Mariia Dmitrieva, David Wink, Stephen J. Lockett, Robert J. Kinders, Jens Rittscher
Profiling DNA Damage in 3D Histology Samples. MOVI@MICCAI (2022)
Hongqing Han, Mariia Dmitrieva, Alexander Sauer, Ka Ho Tam, Jens Rittscher
Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy. CVPR Workshops (2022)
Ziang Xu, Sharib Ali, Soumya Gupta, Simon Leedham, James E. East, Jens Rittscher
Patch-Level Instance-Group Discrimination with Pretext-Invariant Learning for Colitis Scoring. MLMI@MICCAI (2022)
Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E. East, Xin Lu, Jens Rittscher
A deep learning framework for quality assessment and restoration in video endoscopy. Medical Image Anal. 68 (2021)
Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access 9 (2021)
Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy. CoRR (2021)
Helen Theissen, Tapabrata Chakraborti, Stefano Malacrino, Korsuk Sirinukunwattana, Daniel Royston, Jens Rittscher
Learning Cellular Phenotypes through Supervision. EMBC (2021)
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
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment. CoRR (2021)
Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher
EndoUDA: A modality independent segmentation approach for endoscopy imaging. CoRR (2021)
Marta Wojciechowska, Stefano Malacrino, Natalia Garcia Martin, Hamid Fehri, Jens Rittscher
Early Detection of Liver Fibrosis Using Graph Convolutional Networks. MICCAI (8) (2021)
Francesco Reina, John M. A. Wigg, Mariia Dmitrieva, Joël Lefebvre, Jens Rittscher, Christian Eggeling
TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data. F1000Research 10 (2021)
Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher
EndoUDA: A Modality Independent Segmentation Approach for Endoscopy Imaging. MICCAI (3) (2021)
Sebastian Elmes, Tapabrata Chakraborti, Mengran Fan, Holm H. Uhlig, Jens Rittscher
Automated Annotator: Capturing Expert Knowledge for Free. EMBC (2021)
Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. CoRR (2021)
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
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. 70 (2021)
Ziang Xu, Sharib Ali, Soumya Gupta, Numan Celik, Jens Rittscher
Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning. MIUA (2021)
Tapabrata Chakraborti, Fergus Gleeson, Jens Rittscher
Contrastive Representations for Continual Learning of Fine-Grained Histology Images. MLMI@MICCAI (2021)
Tamal Chowdhury, Angad R. S. Bajwa, Tapabrata Chakraborti, Jens Rittscher, Umapada Pal
Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection. MIUA (2021)
Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
Microscopic fine-grained instance classification through deep attention. CoRR (2020)
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
A translational pathway of deep learning methods in GastroIntestinal Endoscopy. CoRR (2020)
Sharib Ali, Noha M. Ghatwary, Barbara Braden, Dominique Lamarque, Adam Bailey, Stefano Realdon, Renato Cannizzaro, Jens Rittscher, Christian Daul, James E. East
Endoscopy disease detection challenge 2020. CoRR (2020)
Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
Microscopic Fine-Grained Instance Classification Through Deep Attention. MICCAI (5) (2020)
Mariia Dmitrieva, Joël Lefebvre, Kristofer delas Peñas, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher
Short Trajectory Segmentation with 1D UNET Framework: Application to Secretory Vesicle Dynamics. ISBI (2020)
Andrew Torr, Doga Basaran, Julia Sero, Jens Rittscher, Heba Sailem
DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks. MIUA (2020)
Numan Celik, Soumya Gupta, Sharib Ali, Jens Rittscher
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation. CoRR (2020)
Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. MLMI@MICCAI (2020)
Joël Lefebvre, Avelino Javer, Mariia Dmitrieva, Jens Rittscher, Bohdan Lewków, Edward Allgeyer, George Sirinakis, Daniel St Johnston
Single-Molecule Localization Microscopy Reconstruction Using Noise2Noise for Super-Resolution Imaging of Actin Filaments. ISBI (2020)
Kristofer delas Peñas, Mariia Dmitrieva, Joël Lefebvre, Helen L. Zenner, Edward Allgeyer, Martin Booth, Daniel St Johnston, Jens Rittscher
Extracting Axial Depth and Trajectory Trend Using Astigmatism, Gaussian Fitting, and CNNs for Protein Tracking. ISBI (2020)
Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher
Motion induced segmentation of stone fragments in ureteroscopy video. Medical Imaging: Image-Guided Procedures (2020)
Ka Ho Tam, Korsuk Sirinukunwattana, Maria F. Soares, Maria Kaisar, Rutger Ploeg, Jens Rittscher
Improving Pathological Distribution Measurements with Bayesian Uncertainty. UNSURE/GRAIL@MICCAI (2020)
Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. CoRR (2020)
Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention. ISBI (2020)
Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag D. Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning. CoRR (2020)
Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher
MI-UNet: Improved Segmentation in Ureteroscopy. ISBI (2020)
Sharib Ali, Jens Rittscher
Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping. MLMI@MICCAI (2019)
Sundaresan Raman, Shantanu Singh, Thierry Pécot, Enrico Caserta, Kun Huang, Jens Rittscher, Gustavo Leone, Raghu Machiraju
Capturing variations in nuclear phenotypes. J. Comput. Sci. 36 (2019)
Sharib Ali, Jens Rittscher
Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping. CoRR (2019)
Sharib Ali, Jens Rittscher
Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract. CoRR (2019)
Mariia Dmitrieva, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher
Protein Tracking By CNN-Based Candidate Pruning And Two-Step Linking With Bayesian Network. MLSP (2019)
Sharib Ali, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher
Ink Removal from Histopathology Whole Slide Images by Combining Classification, Detection and Image Generation Models. ISBI (2019)
Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E. East, Xin Lu, Jens Rittscher
A deep learning framework for quality assessment and restoration in video endoscopy. CoRR (2019)
Avelino Javer, Jens Rittscher
Semantic filtering through deep source separation on microscopy images. CoRR (2019)
Andrea Chatrian, Korsuk Sirinukunwattana, Clare Verrill, Jens Rittscher
Towards the Identification of Histology Based Subtypes in Prostate Cancer. ISBI (2019)
Sharib Ali, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher
Ink removal from histopathology whole slide images by combining classification, detection and image generation models. CoRR (2019)
Sharib Ali, Jens Rittscher
Efficient Video Indexing for Monitoring Disease Activity and Progression in the Upper Gastrointestinal Tract. ISBI (2019)
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
Endoscopy artifact detection (EAD 2019) challenge dataset. CoRR (2019)
Avelino Javer, Jens Rittscher
Semantic Filtering Through Deep Source Separation on Microscopy Images. MLMI@MICCAI (2019)
Raghu Machiraju, Jens Rittscher, Motonori Ota
Workshop on Patient Similitude: Combining Histopathological Images & Multiple-Scale Molecular Phenotypes (NII Shonan Meeting 2018-17). NII Shonan Meet. Rep. 2018 (2018)
Mengran Fan, Jens Rittscher
Global probabilistic models for enhancing segmentation with convolutional networks. ISBI (2018)
Avelino Javer, André E. X. Brown, Iasonas Kokkinos, Jens Rittscher
Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics. ECCV Workshops (6) (2018)
Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. MICCAI (2) (2018)
Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. CoRR (2018)
Heba Sailem, Mar Arias-Garcia, Chris Bakal, Andrew Zisserman, Jens Rittscher
Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning. ICCV Workshops (2017)
Thomas A. Nketia, J. Alison Noble, Jens Rittscher
Towards quantifying the impact of cell boundary estimation on morphometric analysis for phenotypic screening. ISBI (2015)
Alberto Santamaría-Pang, Jens Rittscher, Michael J. Gerdes, Dirk R. Padfield
Cell segmentation and classification by hierarchical supervised shape ranking. ISBI (2015)
Jens Rittscher, Alberto Santamaría-Pang
Mapping for tissue based cytometry. ISBI (2014)
Thomas A. Nketia, Jens Rittscher, J. Alison Noble
Utilizing Phase Retardation Features for Segmenting Cells in Phase Contrast Microscopy Images. MIUA (2014)
Alberto Santamaría-Pang, Yuchi Huang, Jens Rittscher
Cell segmentation and classification via unsupervised shape ranking. ISBI (2013)
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
Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue. Proc. Natl. Acad. Sci. USA 110 (29) (2013)
Xiaofeng Liu, Satish G. Iyengar, Jens Rittscher
Monitoring cardiomyocyte motionin real time through image registration and time series analysis. ISBI (2012)
Daniel Margolis, Alberto Santamaría-Pang, Jens Rittscher
Tissue segmentation and classification using graph-based unsupervised clustering. ISBI (2012)
Jilin Tu, Brandon Laflen, Xiaoming Liu, Musodiq O. Bello, Jens Rittscher, Peter H. Tu
LPSM: Fitting shape model by linear programming. FG (2011)
Dirk R. Padfield, Jens Rittscher, Badrinath Roysam
Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis. Medical Image Anal. 15 (4) (2011)
Shantanu Singh, Firdaus Janoos, Thierry Pécot, Enrico Caserta, Gustavo Leone, Jens Rittscher, Raghu Machiraju
Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning. IPMI (2011)
Ser-Nam Lim, Gianfranco Doretto, Jens Rittscher
Multi-class Object Layout with Unsupervised Image Classification and Object Localization. ISVC (1) (2011)
Gianfranco Doretto, Thomas Sebastian, Peter H. Tu, Jens Rittscher
Appearance-based person reidentification in camera networks: problem overview and current approaches. J. Ambient Intell. Humaniz. Comput. 2 (2) (2011)
Shantanu Singh, Firdaus Janoos, Thierry Pécot, Enrico Caserta, Kun Huang, Jens Rittscher, Gustavo Leone, Raghu Machiraju
Non-parametric Population Analysis of Cellular Phenotypes. MICCAI (2) (2011)
Jens Rittscher, Dirk R. Padfield, A. Santamaria, J. Tu, Ali Can, Musodiq O. Bello, Dashan Gao, Anup Sood, Michael J. Gerdes, Fiona Ginty
Methods and algorithms for extracting high-content signatures from cells, tissues, and model organisms. ISBI (2011)
Dirk R. Padfield, Jens Rittscher, Badrinath Roysam
Quantitative biological studies enabled by robust cell tracking. ISBI (2011)
Shantanu Singh, Sundaresan Raman, Enrico Caserta, Gustavo Leone, Michael C. Ostrowski, Jens Rittscher, Raghu Machiraju
Analysis of spatial variation of nuclear morphology in tissue microenvironments. ISBI (2010)
Dashan Gao, Dirk R. Padfield, Jens Rittscher, Richard McKay
Automated Training Data Generation for Microscopy Focus Classification. MICCAI (2) (2010)
Dirk R. Padfield, Jens Rittscher, Badrinath Roysam
Coupled Minimum-Cost Flow Cell Tracking. IPMI (2009)
Dirk R. Padfield, Jens Rittscher, Nick Thomas, Badrinath Roysam
Spatio-temporal cell cycle phase analysis using level sets and fast marching methods. Medical Image Anal. 13 (1) (2009)
Seon Joo Kim, Gianfranco Doretto, Jens Rittscher, Peter H. Tu, Nils Krahnstoever, Marc Pollefeys
A model change detection approach to dynamic scene modeling. AVSS (2009)
Peter H. Tu, Thomas Sebastian, Gianfranco Doretto, Nils Krahnstoever, Jens Rittscher, Ting Yu
Unified Crowd Segmentation. ECCV (4) (2008)
Dirk R. Padfield, Jens Rittscher, Badrinath Roysam
Spatio-temporal cell segmentation and tracking for automated screening. ISBI (2008)
Dirk R. Padfield, Jens Rittscher, Badrinath Roysam
Methods for monitoring cellular motion and function. ACSCC (2008)
Xiaogang Wang, Gianfranco Doretto, Thomas Sebastian, Jens Rittscher, Peter H. Tu
Shape and Appearance Context Modeling. ICCV (2007)
Peter H. Tu, Nils Krahnstoever, Jens Rittscher
View adaptive detection and distributed site wide tracking. AVSS (2007)
Dirk R. Padfield, Jens Rittscher, Thomas Sebastian, Nick Thomas, Badrinath Roysam
Spatio-temporal cell cycle analysis using 3D level set segmentation of unstained nuclei in line scan confocal fluorescence images. ISBI (2006)
Thomas Sebastian, Jens Rittscher, Liming Yu
Computing phagocytosis index for high-throughput applications. ISBI (2006)
Xiaoming Liu, Jens Rittscher, Tsuhan Chen
Optimal Pose for Face Recognition. CVPR (2) (2006)
Jens Rittscher, Peter H. Tu, Nils Krahnstoever
Simultaneous Estimation of Segmentation and Shape. CVPR (2) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jens Rittscher