Anirban Mukhopadhyay

Orcid: 0000-0003-0669-4018

Affiliations:
  • 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 78 papers between 2011 and 2024.

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Timeline

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Bibliography

2024
Frequency-Time Diffusion with Neural Cellular Automata.
CoRR, 2024

Continual atlas-based segmentation of prostate MRI.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
MANGO: low-cost open source needle guidance.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

HEX: a safe research framework for hybrid EMT X-ray navigation.
Int. J. Comput. Assist. Radiol. Surg., July, 2023

Temporally consistent sequence-to-sequence translation of cataract surgeries.
Int. J. Comput. Assist. Radiol. Surg., July, 2023

From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models.
CoRR, 2023

Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology.
CoRR, 2023

Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning.
CoRR, 2023

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge.
CoRR, 2023

M3D-NCA: Robust 3D Segmentation with Built-In Quality Control.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata.
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

FrOoDo: Framework for Out-of-Distribution Detection.
CoRR, 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

i3Deep: Efficient 3D interactive segmentation with the nnU-Net.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Practical uncertainty quantification for brain tumor segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Federated Stain Normalization for Computational Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Disentanglement Enables Cross-Domain Hippocampus Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Improving Robustness and Calibration in Ensembles with Diversity Regularization.
Proceedings of the Pattern Recognition, 2022

Continual Hippocampus Segmentation with Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Quality Monitoring of Federated Covid-19 Lesion Segmentation.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
A survey on shape-constraint deep learning for medical image segmentation.
CoRR, 2021

Simulation-to-real domain adaptation with teacher-student learning for endoscopic instrument segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2021

CycleGAN for interpretable online EMT compensation.
Int. J. Comput. Assist. Radiol. Surg., 2021

Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Adversarial Continual Learning for Multi-domain Hippocampal Segmentation.
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

M3d-CAM - A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Understanding Interpretability by generalized distillation in Supervised Classification.
CoRR, 2020

Super-Selfish: Self-Supervised Learning on Images with PyTorch.
CoRR, 2020

What is Wrong with Continual Learning in Medical Image Segmentation?
CoRR, 2020

M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning.
CoRR, 2020

i3PosNet: instrument pose estimation from X-ray in temporal bone surgery.
Int. J. Comput. Assist. Radiol. Surg., 2020

Leveraging spatial uncertainty for online error compensation in EMT.
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

GANs for medical image analysis.
Artif. Intell. Medicine, 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
Planning for Flexible Surgical Robots via Bézier Spline Translation.
IEEE Robotics Autom. Lett., 2019

Putting Trust First in the Translation of AI for Healthcare.
ERCIM News, 2019

Habitat-Net: Segmentation of habitat images using deep learning.
Ecol. Informatics, 2019

High-precision evaluation of electromagnetic tracking.
Int. J. Comput. Assist. Radiol. Surg., 2019

Toward an automatic preoperative pipeline for image-guided temporal bone surgery.
Int. J. Comput. Assist. Radiol. Surg., 2019

Optimizing Clearance of Bézier Spline Trajectories for Minimally-Invasive Surgery.
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

Deep Spectral Correspondence for Matching Disparate Image Pairs.
CoRR, 2018

A Theory of Diagnostic Interpretation in Supervised Classification.
CoRR, 2018

How Bad is Good enough: Noisy annotations for instrument pose estimation.
CoRR, 2018

i3PosNet: Instrument Pose Estimation from X-Ray.
CoRR, 2018

Planning nonlinear access paths for temporal bone surgery.
Int. J. Comput. Assist. Radiol. Surg., 2018

Instrument Pose Estimation Using Registration for Otobasis Surgery.
Proceedings of the Biomedical Image Registration - 8th International Workshop, 2018

Exploring Adversarial Examples - Patterns of One-Pixel Attacks.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

Generalized Trajectory Planning for Nonlinear Interventions.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

2017
Unsupervised Myocardial Segmentation for Cardiac BOLD.
IEEE Trans. Medical Imaging, 2017

Biharmonic density estimate: a scale-space descriptor for 3-D deformable surfaces.
Pattern Anal. Appl., 2017

Addressing multi-label imbalance problem of surgical tool detection using CNN.
Int. J. Comput. Assist. Radiol. Surg., 2017

2016
Tool and Phase recognition using contextual CNN features.
CoRR, 2016

Joint geometric graph embedding for partial shape matching in images.
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

Detection and characterization of Intrinsic symmetry of 3D shapes.
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

Supervised Learning of Functional Maps for Infarct Classification.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Unsupervised Myocardial Segmentation for Cardiac MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

2014
Geometric analysis of shapes and its application to medical image analysis.
PhD thesis, 2014

Biharmonic density estimate - A scale space signature for deformable surfaces.
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

Detection and Characterization of Intrinsic Symmetry.
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


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