Baishali Chaudhury

743 total citations
22 papers, 480 citations indexed

About

Baishali Chaudhury is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Small Animals. According to data from OpenAlex, Baishali Chaudhury has authored 22 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 3 papers in Small Animals. Recurrent topics in Baishali Chaudhury's work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (7 papers) and MRI in cancer diagnosis (3 papers). Baishali Chaudhury is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (7 papers) and MRI in cancer diagnosis (3 papers). Baishali Chaudhury collaborates with scholars based in United States and India. Baishali Chaudhury's co-authors include Lawrence Hall, Robert J. Gillies, Dmitry B. Goldgof, Robert A. Gatenby, Mu Zhou, Jacob G. Scott, Kristen W. Yeom, Jayashree Kalpathy–Cramer, Yangming Ou and Olivier Gevaert and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and American Journal of Neuroradiology.

In The Last Decade

Baishali Chaudhury

21 papers receiving 467 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Baishali Chaudhury United States 8 336 135 91 88 64 22 480
Alexandre Carré France 10 343 1.0× 59 0.4× 68 0.7× 85 1.0× 32 0.5× 18 501
Ahmed Alksas United States 10 211 0.6× 54 0.4× 73 0.8× 72 0.8× 49 0.8× 40 330
Ekaterini Solomou Greece 10 129 0.4× 54 0.4× 53 0.6× 80 0.9× 109 1.7× 20 393
Bowen Xin China 11 224 0.7× 20 0.1× 50 0.5× 110 1.3× 25 0.4× 22 404
Yoshikazu Uchiyama Japan 14 364 1.1× 15 0.1× 183 2.0× 165 1.9× 80 1.3× 50 690
Cuiping Zhang China 8 75 0.2× 32 0.2× 41 0.5× 79 0.9× 24 0.4× 13 416
Ling He China 13 148 0.4× 25 0.2× 28 0.3× 94 1.1× 12 0.2× 40 555
Song Gu China 7 115 0.3× 14 0.1× 70 0.8× 20 0.2× 38 0.6× 11 319
Masoumeh Gity Iran 14 279 0.8× 7 0.1× 121 1.3× 51 0.6× 32 0.5× 67 511
Benjamin Laguna United States 10 142 0.4× 15 0.1× 30 0.3× 70 0.8× 26 0.4× 21 408

Countries citing papers authored by Baishali Chaudhury

Since Specialization
Citations

This map shows the geographic impact of Baishali Chaudhury'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 Baishali Chaudhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baishali Chaudhury more than expected).

Fields of papers citing papers by Baishali Chaudhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Baishali Chaudhury. 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 Baishali Chaudhury. The network helps show where Baishali Chaudhury may publish in the future.

Co-authorship network of co-authors of Baishali Chaudhury

This figure shows the co-authorship network connecting the top 25 collaborators of Baishali Chaudhury. A scholar is included among the top collaborators of Baishali Chaudhury 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 Baishali Chaudhury. Baishali Chaudhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Beek, Peter van, et al.. (2021). Boosting computer vision performance by enhancing camera ISP. Electronic Imaging. 33(17). 174–1. 1 indexed citations
2.
Zaid, Mohamed, Baishali Chaudhury, J. Zhang, et al.. (2020). Pancreatic Ductal Adenocarcinoma Immune and Stromal Elements Differ in Spatial Distribution Based on Response to Chemoradiation. International Journal of Radiation Oncology*Biology*Physics. 108(3). e606–e606. 1 indexed citations
3.
Zhou, Mu, Jacob G. Scott, Baishali Chaudhury, et al.. (2017). Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches. American Journal of Neuroradiology. 39(2). 208–216. 272 indexed citations
4.
Zhou, Mu, Baishali Chaudhury, Lawrence Hall, et al.. (2016). Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction. Journal of Magnetic Resonance Imaging. 46(1). 115–123. 66 indexed citations
5.
Chaudhury, Baishali, Mu Zhou, Dmitry B. Goldgof, et al.. (2016). Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9785. 97850T–97850T. 4 indexed citations
6.
Chaudhury, Baishali, Jacob G. Scott, Dmitry B. Goldgof, et al.. (2016). Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9785. 97851H–97851H. 2 indexed citations
7.
Chaudhury, Baishali, Dmitry B. Goldgof, Lawrence Hall, et al.. (2015). Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors. 20. 2164–2169. 3 indexed citations
8.
Chaudhury, Baishali, Mu Zhou, Dmitry B. Goldgof, et al.. (2015). Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 94141U–94141U. 13 indexed citations
9.
Chaudhury, Baishali, Mu Zhou, Dmitry B. Goldgof, et al.. (2015). Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasis. Journal of Magnetic Resonance Imaging. 42(5). 1421–1430. 42 indexed citations
10.
Chaudhury, Baishali, Mu Zhou, Dmitry B. Goldgof, et al.. (2015). Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 941415–941415. 5 indexed citations
11.
Phoulady, Hady Ahmady, Baishali Chaudhury, Dmitry Goldgof, et al.. (2014). Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images. 870–875. 6 indexed citations
12.
Chaudhury, Baishali, Lawrence Hall, Dmitry B. Goldgof, et al.. (2014). New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 90351V–90351V. 2 indexed citations
13.
14.
15.
Chaudhury, Baishali, et al.. (1995). Pneumonia as the cause of death in deer. Indian Journal of Veterinary Pathology. 19(1). 30–34. 3 indexed citations
16.
Chakraborty, Asit Kumar, et al.. (1994). Prevalence of parasitic infection in captive wild herbivores in a zoo in Assam, India. 9(2). 149–152. 12 indexed citations
17.
Chaudhury, Baishali. (1993). Yield loss estimation by (Sclerotinia sclerotiorum) (LIB.) de Bary.. 14. 4 indexed citations
18.
Chakraborty, Ananya & Baishali Chaudhury. (1992). Pathology of Fasciola jacksoni infestation in elephants. Indian Journal of Veterinary Pathology. 16(2). 98–101. 2 indexed citations
19.
Chaudhury, Baishali, et al.. (1985). Prevalence, pathology and isolation studies on phycomycotic gastric ulcer in neonatal piglets. Medical Mycology. 23(5). 395–397. 3 indexed citations
20.
Kwatra, Mohit & Baishali Chaudhury. (1976). A Presumptive Diagnosis of Avian Necrotic Enteritis in the Fowl (Gallus gallus domesticus) from Assam (India). Avian Diseases. 20(2). 401–401. 14 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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