Indrani Bhattacharya

565 total citations
34 papers, 370 citations indexed

About

Indrani Bhattacharya is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Indrani Bhattacharya has authored 34 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Indrani Bhattacharya's work include Prostate Cancer Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced Neural Network Applications (7 papers). Indrani Bhattacharya is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced Neural Network Applications (7 papers). Indrani Bhattacharya collaborates with scholars based in United States, Denmark and India. Indrani Bhattacharya's co-authors include Geoffrey A. Sonn, Mirabela Rusu, Richard E. Fan, Wei Shao, Simon John Christoph Soerensen, Christian A. Kunder, Pejman Ghanouni, James D. Brooks, Richard J. Radke and Jeffrey B. Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and The Journal of Urology.

In The Last Decade

Indrani Bhattacharya

32 papers receiving 365 citations

Peers

Indrani Bhattacharya

PRM

RNMI

CVPR

Amir Tahmasebi United States

Majid Harouni Iran

Sören Richard Stahlschmidt Sweden

Samuel Budd United Kingdom

Noor Ayesha China

Lourdes Durán-López Spain

Krishna Chaitanya India

Alexis Dimitriadis United Kingdom

Gelan Ayana South Korea

Amir Tahmasebi United States

Indrani Bhattacharya

71 ×0.4

PRM

143 ×0.9

RNMI

146 ×1.0

63 ×0.7

CVPR

67 ×1.2

Citations per year, relative to Indrani Bhattacharya Indrani Bhattacharya (= 1×) peers Amir Tahmasebi

Countries citing papers authored by Indrani Bhattacharya

Since Specialization

Citations

This map shows the geographic impact of Indrani Bhattacharya's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Indrani Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indrani Bhattacharya more than expected).

Fields of papers citing papers by Indrani Bhattacharya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Indrani Bhattacharya. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Indrani Bhattacharya. The network helps show where Indrani Bhattacharya may publish in the future.

Co-authorship network of co-authors of Indrani Bhattacharya

This figure shows the co-authorship network connecting the top 25 collaborators of Indrani Bhattacharya. A scholar is included among the top collaborators of Indrani Bhattacharya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Indrani Bhattacharya. Indrani Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Cynthia, Indrani Bhattacharya, Sulaiman Vesal, et al.. (2025). ProstAtlasDiff: Prostate cancer detection on MRI using Diffusion Probabilistic Models guided by population spatial cancer atlases. Medical Image Analysis. 101. 103486–103486. 1 indexed citations

Bhattacharya, Indrani, et al.. (2024). GAN-Based Dual Image Super Resolution for Satellite Imagery Decreasing Radiometric Uncertainty. SHILAP Revista de lepidopterología. X-3-2024. 155–162. 1 indexed citations

Vesal, Sulaiman, Indrani Bhattacharya, Xinran Li, et al.. (2024). A deep learning framework to assess the feasibility of localizing prostate cancer on b-mode transrectal ultrasound images. 26–26. 1 indexed citations

Shao, Wei, Sulaiman Vesal, Simon John Christoph Soerensen, et al.. (2024). RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. Computers in Biology and Medicine. 173. 108318–108318. 8 indexed citations

Sang, Shengtian, Xinran Li, Sulaiman Vesal, et al.. (2024). Swin Transformer-based affine registration of MRI and ultrasound images of the prostate. 6–6. 1 indexed citations

Bhattacharya, Indrani, Sulaiman Vesal, Moon Hyung Choi, et al.. (2024). MP31-18 ARTIFICIAL INTELLIGENCE-ASSISTED PROSTATE CANCER DETECTION ON B-MODE TRANSRECTAL ULTRASOUND IMAGES. The Journal of Urology. 211(5S).

Vesal, Sulaiman, Indrani Bhattacharya, Shyam Natarajan, et al.. (2022). Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. Medical Image Analysis. 82. 102620–102620. 22 indexed citations

Bhattacharya, Indrani, Wei Shao, Christian A. Kunder, et al.. (2022). Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning. Cancers. 14(12). 2821–2821. 17 indexed citations

Bhattacharya, Indrani, Wei Shao, Simon John Christoph Soerensen, et al.. (2022). Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI. 31–31. 3 indexed citations

10.

Bhattacharya, Indrani, Leo C. Chen, Christian A. Kunder, et al.. (2021). Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging. Medical Physics. 48(6). 2960–2972. 41 indexed citations

11.

Soerensen, Simon John Christoph, Richard E. Fan, Yi Chen, et al.. (2021). ProGNet: prostate gland segmentation on MRI with deep learning. 95–95. 5 indexed citations

12.

Bhattacharya, Indrani, Xingchen Liu, Christian A. Kunder, et al.. (2021). Bridging the gap between prostate radiology and pathology through machine learning. arXiv (Cornell University). 15 indexed citations

13.

Bhattacharya, Indrani, Christian A. Kunder, Wei Shao, et al.. (2021). Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Medical Image Analysis. 75. 102288–102288. 46 indexed citations

14.

Bhattacharya, Indrani, et al.. (2021). Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection. 16–16. 4 indexed citations

15.

Nayak, Smita, et al.. (2021). Postoperative custom-made submandibular two-part silicone prosthesis. International Journal of Health & Allied Sciences. 10(2). 169–169. 1 indexed citations

16.

Bhattacharya, Indrani, et al.. (2019). Multimodal Dialog for Browsing Large Visual Catalogs using Exploration-Exploitation Paradigm in a Joint Embedding Space. 187–191. 2 indexed citations

17.

Bhattacharya, Indrani, Michael Foley, Ni Zhang, et al.. (2018). A Multimodal-Sensor-Enabled Room for Unobtrusive Group Meeting Analysis. 347–355. 21 indexed citations

18.

Bhattacharya, Indrani. (2018). Unobtrusive Analysis of Group Interactions without Cameras. 840. 501–505. 1 indexed citations

19.

Bhattacharya, Indrani & Richard J. Radke. (2016). Arrays of single pixel time-of-flight sensors for privacy preserving tracking and coarse pose estimation. 7 indexed citations

20.

Bhattacharya, Indrani, et al.. (2013). A palmprint based biometric authentication system using dual tree complex wavelet transform. Measurement. 46(10). 4179–4188. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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