Anirban Mukhopadhyay

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 92

Top Venues

CoRR

Int. J. Comput. Assist. Radiol. Surg.

MICCAI (3)

MIDL

University of Georgia, Athens, GA, USA (PHD)

Education History

University of Georgia, Athens, GA, USA

PHD

Publications

John Kalkhof, Amin Ranem, Anirban Mukhopadhyay
Unsupervised Training of Neural Cellular Automata on Edge Devices. CoRR (2024)
Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay
Continual atlas-based segmentation of prostate MRI. WACV (2024)
Antoine P. Sanner, Nils F. Grauhan, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay
Voxel Scene Graph for Intracranial Hemorrhage. CoRR (2024)
Moritz Fuchs, Mirko Konstantin, Nicolas Schrade, Leonille Schweizer, Yuri Tolkach, Anirban Mukhopadhyay
Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Nick Lemke, Camila González, Anirban Mukhopadhyay, Martin Mundt
Distribution-Aware Replay for Continual MRI Segmentation. CoRR (2024)
John Kalkhof, Arlene Kühn, Yannik Frisch, Anirban Mukhopadhyay
Frequency-Time Diffusion with Neural Cellular Automata. CoRR (2024)
John Kalkhof, Camila González, Anirban Mukhopadhyay
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. CoRR (2023)
Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay
Continual atlas-based segmentation of prostate MRI. CoRR (2023)
João Victor Galvão da Mata, Henry Krumb, Utkarsh Mishra, Anirban Mukhopadhyay, Caroline Essert
MANGO: low-cost open source needle guidance. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (4) (2023)
Niklas Babendererde, Moritz Fuchs, Camila González, Yuri Tolkach, Anirban Mukhopadhyay
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning. CoRR (2023)
Yannik Frisch, Moritz Fuchs, Antoine Sanner, Felix Anton Ucar, Marius Frenzel, Joana Wasielica-Poslednik, Adrian Gericke, Felix Mathias Wagner, Thomas Dratsch, Anirban Mukhopadhyay
Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models. CoRR (2023)
Christian Harder, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models. CoRR (2023)
John Kalkhof, Anirban Mukhopadhyay
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control. CoRR (2023)
Yannik Frisch, Moritz Fuchs, Anirban Mukhopadhyay
Temporally consistent sequence-to-sequence translation of cataract surgeries. Int. J. Comput. Assist. Radiol. Surg. 18 (7) (2023)
Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, Mingwang Xu, Yingte He, Xinghua Ma, Jingwen Guo, Yifan Liu, Chuanpu Li, Zeli Chen, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Antoine P. Sanner, Anirban Mukhopadhyay, Ahmed E. Othman, Xingyu Zhao, Weiping Liu, Jinhuang Zhang, Xiangyuan Ma, Qinghui Liu, Bradley J. MacIntosh, Wei Liang, Moona Mazher, Abdul Qayyum, Valeriia Abramova, Xavier Lladó, Shuo Li
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. CoRR (2023)
Henry Krumb, Bernhard Dorweiler, Anirban Mukhopadhyay
HEX: a safe research framework for hybrid EMT X-ray navigation. Int. J. Comput. Assist. Radiol. Surg. 18 (7) (2023)
John Kalkhof, Camila González, Anirban Mukhopadhyay
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. IPMI (2023)
Yannik Frisch, Moritz Fuchs, Antoine Sanner, Felix Anton Ucar, Marius Frenzel, Joana Wasielica-Poslednik, Adrian Gericke, Felix Mathias Wagner, Thomas Dratsch, Anirban Mukhopadhyay
Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models. MICCAI (9) (2023)
John Kalkhof, Anirban Mukhopadhyay
M3D-NCA: Robust 3D Segmentation with Built-In Quality Control. MICCAI (3) (2023)
Amin Ranem, Niklas Babendererde, Moritz Fuchs, Anirban Mukhopadhyay
Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology. CoRR (2023)
Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay
Improving robustness and calibration in ensembles with diversity regularization. CoRR (2022)
Camila González, Christian L. Harder, Amin Ranem, Ricarda Fischbach, Isabel J. Kaltenborn, Armin Dadras, Andreas M. Bucher, Anirban Mukhopadhyay
Quality Monitoring of Federated Covid-19 Lesion Segmentation. Bildverarbeitung für die Medizin (2022)
Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. CoRR (2022)
Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay
Federated Stain Normalization for Computational Pathology. CoRR (2022)
Moritz Fuchs, Camila González, Anirban Mukhopadhyay
Practical uncertainty quantification for brain tumor segmentation. MIDL (2022)
Amin Ranem, Camila González, Anirban Mukhopadhyay
Continual Hippocampus Segmentation with Transformers. CVPR Workshops (2022)
Karol Gotkowski, Camila González, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay
i3Deep: Efficient 3D interactive segmentation with the nnU-Net. MIDL (2022)
Jonathan Stieber, Moritz Fuchs, Anirban Mukhopadhyay
FrOoDo: Framework for Out-of-Distribution Detection. CoRR (2022)
Camila González, Amin Ranem, Ahmed Othman, Anirban Mukhopadhyay
Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. DART@MICCAI (2022)
Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz
Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation. STACOM@MICCAI (2022)
Camila González, Amin Ranem, Ahmed Othman, Anirban Mukhopadhyay
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. CoRR (2022)
Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel J. Kaltenborn, Anirban Mukhopadhyay
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. Medical Image Anal. 82 (2022)
Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz
Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation. CoRR (2022)
John Kalkhof, Camila González, Anirban Mukhopadhyay
Disentanglement Enables Cross-Domain Hippocampus Segmentation. ISBI (2022)
John Kalkhof, Camila González, Anirban Mukhopadhyay
Disentanglement enables cross-domain Hippocampus Segmentation. CoRR (2022)
Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay
Improving Robustness and Calibration in Ensembles with Diversity Regularization. GCPR (2022)
Amin Ranem, Camila González, Anirban Mukhopadhyay
Continual Hippocampus Segmentation with Transformers. CoRR (2022)
Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay
Federated Stain Normalization for Computational Pathology. MICCAI (2) (2022)
Camila González, Christian Harder, Amin Ranem, Ricarda Fischbach, Isabel Kaltenborn, Armin Dadras, Andreas Bucher, Anirban Mukhopadhyay
Quality monitoring of federated Covid-19 lesion segmentation. CoRR (2021)
Camila González, Anirban Mukhopadhyay
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation. MIDL (2021)
Antoine Sanner, Camila González, Anirban Mukhopadhyay
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? GCPR (2021)
Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay
M3d-CAM - A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning. Bildverarbeitung für die Medizin (2021)
Antoine Sanner, Camila González, Anirban Mukhopadhyay
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? CoRR (2021)
Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation. CoRR (2021)
Marius Memmel, Camila González, Anirban Mukhopadhyay
Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation. CoRR (2021)
Henry Krumb, Dhritimaan Das, Romol Chadda, Anirban Mukhopadhyay
CycleGAN for Interpretable Online EMT Compensation. CoRR (2021)
Simon Bohlender, Ilkay Öksüz, Anirban Mukhopadhyay
A survey on shape-constraint deep learning for medical image segmentation. CoRR (2021)
Henry Krumb, Dhritimaan Das, Romol Chadda, Anirban Mukhopadhyay
CycleGAN for interpretable online EMT compensation. Int. J. Comput. Assist. Radiol. Surg. 16 (5) (2021)
Manish Sahu, Anirban Mukhopadhyay, Stefan Zachow
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation. CoRR (2021)
Marius Memmel, Camila González, Anirban Mukhopadhyay
Adversarial Continual Learning for Multi-domain Hippocampal Segmentation. DART/FAIR@MICCAI (2021)
Manish Sahu, Anirban Mukhopadhyay, Stefan Zachow
Simulation-to-real domain adaptation with teacher-student learning for endoscopic instrument segmentation. Int. J. Comput. Assist. Radiol. Surg. 16 (5) (2021)
Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation. MICCAI (7) (2021)
Camila González, Georgios Sakas, Anirban Mukhopadhyay
What is Wrong with Continual Learning in Medical Image Segmentation? CoRR (2020)
Henry Krumb, Sofie Hofmann, David Kügler, Ahmed Ghazy, Bernhard Dorweiler, Judith Bredemann, Robert H. Schmitt, Georgios Sakas, Anirban Mukhopadhyay
Leveraging spatial uncertainty for online error compensation in EMT. Int. J. Comput. Assist. Radiol. Surg. 15 (6) (2020)
Adit Agarwal, K. K. Shukla, Arjan Kuijper, Anirban Mukhopadhyay
Understanding Interpretability by generalized distillation in Supervised Classification. CoRR (2020)
David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation. MICCAI (3) (2020)
Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation. CoRR (2020)
David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation. CoRR (2020)
Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
GANs for medical image analysis. Artif. Intell. Medicine 109 (2020)
Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow
Endo-Sim2Real: Consistency Learning-Based Domain Adaptation for Instrument Segmentation. MICCAI (3) (2020)
Johannes Fauser, Simon Bohlender, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay
Retrospective in silico evaluation of optimized preoperative planning for temporal bone surgery. Int. J. Comput. Assist. Radiol. Surg. 15 (11) (2020)
Nicolas Wagner, Anirban Mukhopadhyay
Super-Selfish: Self-Supervised Learning on Images with PyTorch. CoRR (2020)
Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning. CoRR (2020)
David Kügler, Jannik Sehring, Andrei Stefanov, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay
i3PosNet: instrument pose estimation from X-ray in temporal bone surgery. Int. J. Comput. Assist. Radiol. Surg. 15 (7) (2020)
Johannes Fauser, Moritz Fuchs, Ahmed Ghazy, Bernhard Dorweiler, Anirban Mukhopadhyay
Preoperative Planning for Guidewires Employing Shape-Regularized Segmentation and Optimized Trajectories. OR/MLCN@MICCAI (2019)
Anirban Mukhopadhyay, David Kügler, Andreas Bucher, Dieter W. Fellner, Thomas M. Vogl
Putting Trust First in the Translation of AI for Healthcare. ERCIM News 2019 (116) (2019)
David Kügler, Henry Krumb, Judith Bredemann, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Robert H. Schmitt, Georgios Sakas, Anirban Mukhopadhyay
High-precision evaluation of electromagnetic tracking. Int. J. Comput. Assist. Radiol. Surg. 14 (7) (2019)
Johannes Fauser, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay
Optimizing Clearance of Bézier Spline Trajectories for Minimally-Invasive Surgery. MICCAI (5) (2019)
Johannes Fauser, Romol Chadda, Yannik Goergen, Markus Hessinger, Paul Motzki, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Stefan Seelecke, Roland Werthschützky, Mario Kupnik, Anirban Mukhopadhyay
Planning for Flexible Surgical Robots via Bézier Spline Translation. IEEE Robotics Autom. Lett. 4 (4) (2019)
Johannes Fauser, Igor Stenin, Markus Bauer, Wei-Hung Hsu, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay
Toward an automatic preoperative pipeline for image-guided temporal bone surgery. Int. J. Comput. Assist. Radiol. Surg. 14 (6) (2019)
Jesse F. Abrams, Anand Vashishtha, Seth T. Wong, An Nguyen, Azlan Mohamed, Sebastian Wieser, Arjan Kuijper, Andreas Wilting, Anirban Mukhopadhyay
Habitat-Net: Segmentation of habitat images using deep learning. Ecol. Informatics 51 (2019)
Johannes Fauser, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Dieter W. Fellner, Anirban Mukhopadhyay
Generalized Trajectory Planning for Nonlinear Interventions. OR 2.0/CARE/CLIP/ISIC@MICCAI (2018)
Johannes Fauser, Georgios Sakas, Anirban Mukhopadhyay
Planning Nonlinear Access Paths for Temporal Bone Surgery. CoRR (2018)
David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay
Exploring Adversarial Examples: Patterns of One-Pixel Attacks. CoRR (2018)
David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay
Exploring Adversarial Examples - Patterns of One-Pixel Attacks. MLCN/DLF/iMIMIC@MICCAI (2018)
Arun C. S. Kumar, Shefali Srivastava, Anirban Mukhopadhyay, Suchendra M. Bhandarkar
Deep Spectral Correspondence for Matching Disparate Image Pairs. CoRR (2018)
Anirban Mukhopadhyay
A Theory of Diagnostic Interpretation in Supervised Classification. CoRR (2018)
Johannes Fauser, Georgios Sakas, Anirban Mukhopadhyay
Planning nonlinear access paths for temporal bone surgery. Int. J. Comput. Assist. Radiol. Surg. 13 (5) (2018)
David Kügler, Martin Andrade Jastrzebski, Anirban Mukhopadhyay
Instrument Pose Estimation Using Registration for Otobasis Surgery. WBIR (2018)
Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22 (2) (2018)
Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
GANs for Medical Image Analysis. CoRR (2018)
Christoph von Tycowicz, Felix Ambellan, Anirban Mukhopadhyay, Stefan Zachow
An efficient Riemannian statistical shape model using differential coordinates: With application to the classification of data from the Osteoarthritis Initiative. Medical Image Anal. 43 (2018)
David Kügler, Andrei Stefanov, Anirban Mukhopadhyay
i3PosNet: Instrument Pose Estimation from X-Ray. CoRR (2018)
David Kügler, Anirban Mukhopadhyay
How Bad is Good enough: Noisy annotations for instrument pose estimation. CoRR (2018)
Anirban Mukhopadhyay, Suchendra M. Bhandarkar
Biharmonic density estimate: a scale-space descriptor for 3-D deformable surfaces. Pattern Anal. Appl. 20 (4) (2017)
Manish Sahu, Anirban Mukhopadhyay, Angelika Szengel, Stefan Zachow
Addressing multi-label imbalance problem of surgical tool detection using CNN. Int. J. Comput. Assist. Radiol. Surg. 12 (6) (2017)
Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris
Unsupervised Myocardial Segmentation for Cardiac BOLD. IEEE Trans. Medical Imaging 36 (11) (2017)
Anirban Mukhopadhyay, Arun C. S. Kumar, Suchendra M. Bhandarkar
Joint geometric graph embedding for partial shape matching in images. WACV (2016)
Anirban Mukhopadhyay, Oscar Salvador Morillo Victoria, Stefan Zachow, Hans Lamecker
Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative - Data from the Osteoarthritis Initiative. Patch-MI@MICCAI (2016)
Anirban Mukhopadhyay, Suchendra M. Bhandarkar, Fatih Porikli
Detection and characterization of Intrinsic symmetry of 3D shapes. ICPR (2016)
Anirban Mukhopadhyay
Total Variation Random Forest: Fully Automatic MRI Segmentation in Congenital Heart Diseases. RAMBO+HVSMR@MICCAI (2016)
Manish Sahu, Anirban Mukhopadhyay, Angelika Szengel, Stefan Zachow
Tool and Phase recognition using contextual CNN features. CoRR (2016)
Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI. FIMH (2015)
Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
Unsupervised Myocardial Segmentation for Cardiac MRI. MICCAI (3) (2015)
Anirban Mukhopadhyay, Ilkay Öksüz, Sotirios A. Tsaftaris
Supervised Learning of Functional Maps for Infarct Classification. STACOM@MICCAI (2015)
Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Szilard Voros, Sarah Rinehart
Morphological Analysis of the Left Ventricular Endocardial Surface Using a Bag-of-Features Descriptor. IEEE J. Biomed. Health Informatics 19 (4) (2015)
Ilkay Öksüz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR. MICCAI (2) (2015)
Anirban Mukhopadhyay, Suchendra M. Bhandarkar
Biharmonic density estimate - A scale space signature for deformable surfaces. ICIP (2014)
Anirban Mukhopadhyay, Suchendra M. Bhandarkar, Fatih Porikli
Detection and Characterization of Intrinsic Symmetry. CoRR (2013)
Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Sarah Rinehart, Szilard Voros
Morphological Analusis Of The Left Ventricular Eendocardial Surface Using A Bag-Of-Features Descriptor CoRR (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Anirban Mukhopadhyay