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ORCIDAnirban Mukhopadhyay 0003
Person information
- affiliation: TU Darmstadt, Germany
- affiliation (former): Zuse Institute Berlin, Germany
- affiliation (former): Institute for Advanced Studies (IMT), Lucca, Italy
- affiliation (former): The University of Georgia, Athens, GA, USA
Other persons with the same name
- Anirban Mukhopadhyay 0001
![[0000-0001-8128-3521]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8128-3521")
— University of Kalyani, India - Anirban Mukhopadhyay 0002 — Asian Institute of Technology, Chang Wat Pathum, Thailand (and 1 more)
- Anirban Mukhopadhyay 0004 — Indian Institute of Technology Delhi, Department of Electrical Engineering, New Delhi, India
- Anirban Mukhopadhyay 0006 — Virginia Tech, Blacksburg, VA, USA
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2020 – today
- 2025
[e4]Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dorit Mehrof, Yixuan Yuan:
Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15224, Springer 2025, ISBN 978-3-031-72743-6 [contents]- 2024
- [j22]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): 4094-4104 (2024) - [c41]Nick Lemke, Camila González, Anirban Mukhopadhyay, Martin Mundt:
Distribution-Aware Replay for Continual MRI Segmentation. AIPAD/PILM@MICCAI 2024: 73-85 - [c40]Henry Krumb, Jonas Mehtali, Juan Verde, Anirban Mukhopadhyay, Caroline Essert:
Cryotrack: Planning and Navigation for Computer Assisted Cryoablation. MICCAI (6) 2024: 99-108 - [c39]John Kalkhof, Amin Ranem, Anirban Mukhopadhyay:
Unsupervised Training of Neural Cellular Automata on Edge Devices. MICCAI (3) 2024: 498-507 - [c38]Antoine P. Sanner, Nils F. Grauhan, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay:
Voxel Scene Graph for Intracranial Hemorrhage. MICCAI (2) 2024: 519-529 - [c37]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: 7548-7557 - [e3]Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan:
Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14533, Springer 2024, ISBN 978-3-031-53766-0 [contents] - [i45]John Kalkhof, Arlene Kühn, Yannik Frisch, Anirban Mukhopadhyay:
Frequency-Time Diffusion with Neural Cellular Automata. CoRR abs/2401.06291 (2024) - [i44]John Kalkhof, Amin Ranem, Anirban Mukhopadhyay:
Unsupervised Training of Neural Cellular Automata on Edge Devices. CoRR abs/2407.18114 (2024) - [i43]Nick Lemke, Camila González, Anirban Mukhopadhyay, Martin Mundt:
Distribution-Aware Replay for Continual MRI Segmentation. CoRR abs/2407.21216 (2024) - [i42]Antoine P. Sanner, Nils F. Grauhan, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay:
Voxel Scene Graph for Intracranial Hemorrhage. CoRR abs/2407.21580 (2024) - [i41]Antoine P. Sanner, Nils F. Grauhan, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay:
Detection of Intracranial Hemorrhage for Trauma Patients. CoRR abs/2408.10768 (2024) - 2023
- [j21]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): 1175-1183 (2023) - [j20]Yannik Frisch, Moritz Fuchs, Anirban Mukhopadhyay:
Temporally consistent sequence-to-sequence translation of cataract surgeries. Int. J. Comput. Assist. Radiol. Surg. 18(7): 1217-1224 (2023) - [j19]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): 1151-1157 (2023) - [c36]John Kalkhof, Camila González, Anirban Mukhopadhyay:
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. IPMI 2023: 705-716 - [c35]John Kalkhof, Anirban Mukhopadhyay:
M3D-NCA: Robust 3D Segmentation with Built-In Quality Control. MICCAI (3) 2023: 169-178 - [c34]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: 354-364 - [i40]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 abs/2301.03281 (2023) - [i39]John Kalkhof, Camila González, Anirban Mukhopadhyay:
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. CoRR abs/2302.03473 (2023) - [i38]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 abs/2308.02587 (2023) - [i37]Niklas Babendererde, Moritz Fuchs, Camila González, Yuri Tolkach, Anirban Mukhopadhyay:
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning. CoRR abs/2309.00688 (2023) - [i36]John Kalkhof, Anirban Mukhopadhyay:
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control. CoRR abs/2309.02954 (2023) - [i35]Amin Ranem, Niklas Babendererde, Moritz Fuchs, Anirban Mukhopadhyay:
Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology. CoRR abs/2310.00504 (2023) - [i34]Christian Harder, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay:
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models. CoRR abs/2310.16695 (2023) - [i33]Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay:
Continual atlas-based segmentation of prostate MRI. CoRR abs/2311.00548 (2023) - 2022
- [j18]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: 102596 (2022) - [c33]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: 38-43 - [c32]Amin Ranem, Camila González, Anirban Mukhopadhyay:
Continual Hippocampus Segmentation with Transformers. CVPR Workshops 2022: 3710-3719 - [c31]Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay:
Improving Robustness and Calibration in Ensembles with Diversity Regularization. GCPR 2022: 36-50 - [c30]John Kalkhof, Camila González, Anirban Mukhopadhyay:
Disentanglement Enables Cross-Domain Hippocampus Segmentation. ISBI 2022: 1-5 - [c29]Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay:
Federated Stain Normalization for Computational Pathology. MICCAI (2) 2022: 14-23 - [c28]Camila González, Amin Ranem, Ahmed E. Othman, Anirban Mukhopadhyay:
Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. DART@MICCAI 2022: 108-118 - [c27]Moritz Fuchs, Camila González, Anirban Mukhopadhyay:
Practical uncertainty quantification for brain tumor segmentation. MIDL 2022: 407-422 - [c26]Karol Gotkowski, Camila González, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay:
i3Deep: Efficient 3D interactive segmentation with the nnU-Net. MIDL 2022: 441-456 - [c25]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: 447-456 - [e2]Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan:
Deep Generative Models - Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13609, Springer 2022, ISBN 978-3-031-18575-5 [contents] - [i32]John Kalkhof, Camila González, Anirban Mukhopadhyay:
Disentanglement enables cross-domain Hippocampus Segmentation. CoRR abs/2201.05650 (2022) - [i31]Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay:
Improving robustness and calibration in ensembles with diversity regularization. CoRR abs/2201.10908 (2022) - [i30]Amin Ranem, Camila González, Anirban Mukhopadhyay:
Continual Hippocampus Segmentation with Transformers. CoRR abs/2204.08043 (2022) - [i29]Jonathan Stieber, Moritz Fuchs, Anirban Mukhopadhyay:
FrOoDo: Framework for Out-of-Distribution Detection. CoRR abs/2208.00963 (2022) - [i28]Camila González, Amin Ranem, Ahmed E. Othman, Anirban Mukhopadhyay:
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. CoRR abs/2208.03206 (2022) - [i27]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 abs/2208.03217 (2022) - [i26]Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz:
Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation. CoRR abs/2209.09678 (2022) - [i25]Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay:
Federated Stain Normalization for Computational Pathology. CoRR abs/2209.14849 (2022) - 2021
- [j17]Henry Krumb, Dhritimaan Das, Romol Chadda, Anirban Mukhopadhyay:
CycleGAN for interpretable online EMT compensation. Int. J. Comput. Assist. Radiol. Surg. 16(5): 757-765 (2021) - [j16]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): 849-859 (2021) - [c24]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: 217-222 - [c23]Antoine Sanner, Camila González, Anirban Mukhopadhyay:
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? GCPR 2021: 604-617 - [c22]Marius Memmel, Camila González, Anirban Mukhopadhyay:
Adversarial Continual Learning for Multi-domain Hippocampal Segmentation. DART/FAIR@MICCAI 2021: 35-45 - [c21]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: 304-314 - [c20]Camila González, Anirban Mukhopadhyay:
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation. MIDL 2021: 205-218 - [e1]Sandy Engelhardt, Ilkay Öksüz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Van Nguyen, Raphael Sznitman, Yuan Xue:
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13003, Springer 2021, ISBN 978-3-030-88209-9 [contents] - [i24]Henry Krumb, Dhritimaan Das, Romol Chadda, Anirban Mukhopadhyay:
CycleGAN for Interpretable Online EMT Compensation. CoRR abs/2101.01444 (2021) - [i23]Simon Bohlender, Ilkay Öksüz, Anirban Mukhopadhyay:
A survey on shape-constraint deep learning for medical image segmentation. CoRR abs/2101.07721 (2021) - [i22]Manish Sahu, Anirban Mukhopadhyay, Stefan Zachow:
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation. CoRR abs/2103.01593 (2021) - [i21]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 abs/2107.05975 (2021) - [i20]Marius Memmel, Camila González, Anirban Mukhopadhyay:
Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation. CoRR abs/2107.08751 (2021) - [i19]Antoine Sanner, Camila González, Anirban Mukhopadhyay:
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? CoRR abs/2109.01668 (2021) - [i18]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 abs/2112.08974 (2021) - 2020
- [j15]Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay:
GANs for medical image analysis. Artif. Intell. Medicine 109: 101938 (2020) - [j14]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): 1043-1051 (2020) - [j13]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): 1137-1145 (2020) - [j12]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): 1825-1833 (2020) - [c19]David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay:
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation. MICCAI (3) 2020: 375-384 - [c18]Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow:
Endo-Sim2Real: Consistency Learning-Based Domain Adaptation for Instrument Segmentation. MICCAI (3) 2020: 784-794 - [i17]David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay:
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation. CoRR abs/2006.14858 (2020) - [i16]Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay:
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning. CoRR abs/2007.00453 (2020) - [i15]Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow:
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation. CoRR abs/2007.11514 (2020) - [i14]Camila González, Georgios Sakas, Anirban Mukhopadhyay:
What is Wrong with Continual Learning in Medical Image Segmentation? CoRR abs/2010.11008 (2020) - [i13]Nicolas Wagner, Anirban Mukhopadhyay:
Super-Selfish: Self-Supervised Learning on Images with PyTorch. CoRR abs/2012.02706 (2020) - [i12]Adit Agarwal, K. K. Shukla, Arjan Kuijper, Anirban Mukhopadhyay:
Understanding Interpretability by generalized distillation in Supervised Classification. CoRR abs/2012.03089 (2020)
2010 – 2019
- 2019
- [j11]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): 967-976 (2019) - [j10]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): 1127-1135 (2019) - [j9]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: 121-128 (2019) - [j8]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): 3270-3277 (2019) - [c17]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: 12-20 - [c16]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: 20-28 - [i11]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) - 2018
- [j7]Johannes Fauser, Georgios Sakas, Anirban Mukhopadhyay:
Planning nonlinear access paths for temporal bone surgery. Int. J. Comput. Assist. Radiol. Surg. 13(5): 637-646 (2018) - [j6]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: 1-9 (2018) - [j5]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): 503-515 (2018) - [c15]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: 46-53 - [c14]David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay:
Exploring Adversarial Examples - Patterns of One-Pixel Attacks. MLCN/DLF/iMIMIC@MICCAI 2018: 70-78 - [c13]David Kügler, Martin Andrade Jastrzebski, Anirban Mukhopadhyay:
Instrument Pose Estimation Using Registration for Otobasis Surgery. WBIR 2018: 105-114 - [i10]Johannes Fauser, Georgios Sakas, Anirban Mukhopadhyay:
Planning Nonlinear Access Paths for Temporal Bone Surgery. CoRR abs/1802.07546 (2018) - [i9]David Kügler, Andrei Stefanov, Anirban Mukhopadhyay:
i3PosNet: Instrument Pose Estimation from X-Ray. CoRR abs/1802.09575 (2018) - [i8]David Kügler, Anirban Mukhopadhyay:
How Bad is Good enough: Noisy annotations for instrument pose estimation. CoRR abs/1806.07836 (2018) - [i7]David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay:
Exploring Adversarial Examples: Patterns of One-Pixel Attacks. CoRR abs/1806.09410 (2018) - [i6]Anirban Mukhopadhyay:
A Theory of Diagnostic Interpretation in Supervised Classification. CoRR abs/1806.10080 (2018) - [i5]Arun C. S. Kumar, Shefali Srivastava, Anirban Mukhopadhyay, Suchendra M. Bhandarkar:
Deep Spectral Correspondence for Matching Disparate Image Pairs. CoRR abs/1809.04642 (2018) - [i4]Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay:
GANs for Medical Image Analysis. CoRR abs/1809.06222 (2018) - 2017
- [j4]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): 1013-1020 (2017) - [j3]Anirban Mukhopadhyay, Suchendra M. Bhandarkar:
Biharmonic density estimate: a scale-space descriptor for 3-D deformable surfaces. Pattern Anal. Appl. 20(4): 1261-1273 (2017) - [j2]Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unsupervised Myocardial Segmentation for Cardiac BOLD. IEEE Trans. Medical Imaging 36(11): 2228-2238 (2017) - 2016
- [c12]Anirban Mukhopadhyay, Suchendra M. Bhandarkar, Fatih Porikli:
Detection and characterization of Intrinsic symmetry of 3D shapes. ICPR 2016: 1815-1820 - [c11]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: 25-33 - [c10]Anirban Mukhopadhyay:
Total Variation Random Forest: Fully Automatic MRI Segmentation in Congenital Heart Diseases. RAMBO+HVSMR@MICCAI 2016: 165-171 - [c9]Anirban Mukhopadhyay, Arun C. S. Kumar, Suchendra M. Bhandarkar:
Joint geometric graph embedding for partial shape matching in images. WACV 2016: 1-9 - [i3]Manish Sahu, Anirban Mukhopadhyay, Angelika Szengel, Stefan Zachow:
Tool and Phase recognition using contextual CNN features. CoRR abs/1610.08854 (2016) - 2015
- [j1]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): 1483-1493 (2015) - [c8]Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI. FIMH 2015: 189-197 - [c7]Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unsupervised Myocardial Segmentation for Cardiac MRI. MICCAI (3) 2015: 12-20 - [c6]Anirban Mukhopadhyay, Ilkay Öksüz, Sotirios A. Tsaftaris:
Supervised Learning of Functional Maps for Infarct Classification. STACOM@MICCAI 2015: 162-170 - [c5]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: 205-213 - 2014
- [b1]Anirban Mukhopadhyay:
Geometric analysis of shapes and its application to medical image analysis. University of Georgia, Athens, GA, USA, 2014 - [c4]Anirban Mukhopadhyay, Suchendra M. Bhandarkar:
Biharmonic density estimate - A scale space signature for deformable surfaces. ICIP 2014: 4737-4741 - 2013
- [i2]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 abs/1302.3155 (2013) - [i1]Anirban Mukhopadhyay, Suchendra M. Bhandarkar, Fatih Porikli:
Detection and Characterization of Intrinsic Symmetry. CoRR abs/1309.7472 (2013) - 2012
- [c3]Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Sarah Rinehart, Szilard Voros:
Morphological Analysis of the Left Ventricular Endocardial Surface and Its Clinical Implications. MICCAI (2) 2012: 502-510 - [c2]Austin T. New, Anirban Mukhopadhyay, Hamid R. Arabnia, Suchendra M. Bhandarkar:
Non-rigid shape correspondence and description using geodesic field estimate distribution. SIGGRAPH Posters 2012: 96 - 2011
- [c1]Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Szilard Voros:
Shape Analysis of the Left Ventricular Endocardial Surface and Its Application in Detecting Coronary Artery Disease. FIMH 2011: 275-283
Coauthor Index
Andreas Bucher
aka: Andreas M. Bucher
aka: Andreas M. Bucher
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