Amit Sethi
Orcid: 0000-0002-8634-1804
According to our database1,
Amit Sethi
authored at least 97 papers
between 2002 and 2024.
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Bibliography
2024
IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence.
CoRR, 2024
Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection.
CoRR, 2024
Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
Unsupervised Domain Adaptation for Medical Images with an Improved Combination of Losses.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications.
CoRR, 2023
Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination.
CoRR, 2023
Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis.
CoRR, 2023
Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis.
CoRR, 2023
CoRR, 2023
CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation.
CoRR, 2023
Heterogeneous Graphs Model Spatial Relationship Between Biological Entities for Breast Cancer Diagnosis.
Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
Robust Semi-Supervised Learning for Histopathology Images Through Self-Supervision Guided Out-of-Distribution Scoring.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
2022
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge".
IEEE Trans. Medical Imaging, 2022
Appraisal of Resistivity Inversion Models With Convolutional Variational Encoder-Decoder Network.
IEEE Trans. Geosci. Remote. Sens., 2022
CoRR, 2022
CoRR, 2022
Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation.
CoRR, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Improved Histology Image Classification under Label Noise Via Feature Aggregating Memory Banks.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation.
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022
2021
WIREs Data Mining Knowl. Discov., 2021
IEEE Trans. Medical Imaging, 2021
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021
Fast, Self Supervised, Fully Convolutional Color Normalization Of H&E Stained Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance.
CoRR, 2020
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis.
CoRR, 2020
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning.
CoRR, 2020
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Self-Supervision vs. Transfer Learning: Robust Biomedical Image Analysis Against Adversarial Attacks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
IEEE Wirel. Commun. Lett., 2019
Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering.
IEEE Trans. Medical Imaging, 2019
EEG-based functional connectivity to analyze motor recovery after stroke: A pilot study.
Biomed. Signal Process. Control., 2019
Proceedings of the TENCON 2019, 2019
Proceedings of the TENCON 2019, 2019
Proceedings of the International Conference on Systems, Signals and Image Processing, 2019
2018
IEEE Trans. Multim., 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology.
IEEE Trans. Medical Imaging, 2017
Pattern Recognit. Lett., 2017
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
2016
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images.
IEEE Trans. Medical Imaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
Proceedings of the 2014 Indian Conference on Computer Vision, 2014
Proceedings of the 2014 Indian Conference on Computer Vision, 2014
2013
Ars Math. Contemp., 2013
Unsupervised learning approach for abnormal event detection in surveillance video by revealing infrequent patterns.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012
2007
EURASIP J. Adv. Signal Process., 2007
2006
PhD thesis, 2006
IEEE Trans. Pattern Anal. Mach. Intell., 2006
2005
Variable module graphs: a framework for inference and learning in modular vision systems.
Proceedings of the 2005 International Conference on Image Processing, 2005
2004
Curve and Surface Duals and the Recognition of Curved 3D Objects from their Silhouettes.
Int. J. Comput. Vis., 2004
Proceedings of the 2004 International Conference on Image Processing, 2004
Proceedings of the Computer Vision, 2004
2002
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes.
Proceedings of the Computer Vision, 2002