Anirban Mukhopadhyay
Orcid: 0000-0003-0669-4018Affiliations:
- TU Darmstadt, Germany
- Zuse Institute Berlin, Germany (former)
- Institute for Advanced Studies (IMT), Lucca, Italy (former)
- The University of Georgia, Athens, GA, USA (former)
According to our database1,
Anirban Mukhopadhyay
authored at least 90 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology.
IEEE J. Biomed. Health Informatics, July, 2024
NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
2023
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
Int. J. Comput. Assist. Radiol. Surg., July, 2023
Int. J. Comput. Assist. Radiol. Surg., July, 2023
CoRR, 2023
Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology.
CoRR, 2023
CoRR, 2023
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation.
Medical Image Anal., 2022
Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
2021
CoRR, 2021
Simulation-to-real domain adaptation with teacher-student learning for endoscopic instrument segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2021
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Understanding Interpretability by generalized distillation in Supervised Classification.
CoRR, 2020
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning.
CoRR, 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Retrospective in silico evaluation of optimized preoperative planning for temporal bone surgery.
Int. J. Comput. Assist. Radiol. Surg., 2020
Endo-Sim2Real: Consistency Learning-Based Domain Adaptation for Instrument Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
IEEE Robotics Autom. Lett., 2019
Ecol. Informatics, 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Preoperative Planning for Guidewires Employing Shape-Regularized Segmentation and Optimized Trajectories.
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019
2018
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018
An efficient Riemannian statistical shape model using differential coordinates: With application to the classification of data from the Osteoarthritis Initiative.
Medical Image Anal., 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the Biomedical Image Registration - 8th International Workshop, 2018
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018
2017
IEEE Trans. Medical Imaging, 2017
Pattern Anal. Appl., 2017
Int. J. Comput. Assist. Radiol. Surg., 2017
2016
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016
Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative - Data from the Osteoarthritis Initiative.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
Total Variation Random Forest: Fully Automatic MRI Segmentation in Congenital Heart Diseases.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Morphological Analysis of the Left Ventricular Endocardial Surface Using a Bag-of-Features Descriptor.
IEEE J. Biomed. Health Informatics, 2015
Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Functional Imaging and Modeling of the Heart, 2015
2014
PhD thesis, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Morphological Analusis Of The Left Ventricular Eendocardial Surface Using A Bag-Of-Features Descriptor
CoRR, 2013
2012
Non-rigid shape correspondence and description using geodesic field estimate distribution.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2012
Morphological Analysis of the Left Ventricular Endocardial Surface and Its Clinical Implications.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
Shape Analysis of the Left Ventricular Endocardial Surface and Its Application in Detecting Coronary Artery Disease.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011