Indrani Bhattacharya

Orcid: 0000-0003-1557-6961

According to our database1, Indrani Bhattacharya authored at least 28 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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, 2022

2021
Bridging the gap between prostate radiology and pathology through machine learning.
CoRR, 2021

ProGNet: prostate gland segmentation on MRI with deep learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Weakly Supervised Registration of Prostate MRI and Histopathology Images.
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

The unobtrusive group interaction (UGI) corpus.
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
A Multimodal-Sensor-Enabled Room for Unobtrusive Group Meeting Analysis.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Unobtrusive Analysis of Group Interactions without Cameras.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Visualizing Group Dynamics based on Multiparty Meeting Understanding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

2017
Spatial Distribution Based Provisional Disease Diagnosis in Remote Healthcare.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Privacy-Preserving Understanding of Human Body Orientation for Smart Meetings.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Graph Based Clinical Decision Support System Using Ontological Framework.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017

2016
Designing Intelligent Automation based Solutions for Complex Social Problems.
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


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