Indrani Bhattacharya
Orcid: 0000-0003-1557-6961
According to our database1,
Indrani Bhattacharya
authored at least 29 papers
between 2015 and 2024.
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Bibliography
2024
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate.
Comput. Biol. Medicine, 2024
2023
ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging.
CoRR, 2023
Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023
2022
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study.
Medical Image Anal., 2022
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.
Medical Image Anal., 2022
Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT.
CoRR, 2022
Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
CoRR, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Multiparty Visual Co-Occurrences for Estimating Personality Traits in Group Meetings.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space.
CoRR, 2019
Proceedings of the 10th ACM Multimedia Systems Conference, 2019
Multimodal Dialog for Browsing Large Visual Catalogs using Exploration-Exploitation Paradigm in a Joint Embedding Space.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019
Improved Visual Focus of Attention Estimation and Prosodic Features for Analyzing Group Interactions.
Proceedings of the International Conference on Multimodal Interaction, 2019
2018
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
2017
Proceedings of the Pattern Recognition and Machine Intelligence, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017
2016
CoRR, 2016
Arrays of single pixel time-of-flight sensors for privacy preserving tracking and coarse pose estimation.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016
Query Classification using LDA Topic Model and Sparse Representation Based Classifier.
Proceedings of the 3rd IKDD Conference on Data Science, 2016
2015
Patient classification based on expanded query using 5-gram collocation and binary tree.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015