Suprosanna Shit
Orcid: 0000-0003-4435-7207
According to our database1,
Suprosanna Shit
authored at least 64 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
CoRR, 2024
2023
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling.
Medical Image Anal., 2023
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023
CoRR, 2023
Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.
Proceedings of the Medical Imaging with Deep Learning, 2023
Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Medical Imaging, 2022
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge.
Medical Image Anal., 2022
Frontiers Artif. Intell., 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
CoRR, 2022
Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
CoRR, 2022
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning.
CoRR, 2022
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling.
Proceedings of the Machine Learning for Health, 2022
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
IEEE Trans. Medical Imaging, 2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.
NeuroImage, 2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021
CoRR, 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph).
CoRR, 2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient.
CoRR, 2021
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.
CoRR, 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities.
Proceedings of the Information Processing in Medical Imaging, 2021
clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset.
CoRR, 2020
CoRR, 2020
Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum.
CoRR, 2020
CoRR, 2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020
A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement.
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty, 2020
2019
CoRR, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
IEEE Signal Process. Lett., 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2014
A low cost data acquisition system from digital display instruments employing image processing technique.
Proceedings of the 2014 International Conference on Advances in Computing, 2014