Sandeep Dalal

450 total citations
23 papers, 313 citations indexed

About

Sandeep Dalal is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sandeep Dalal has authored 23 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sandeep Dalal's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Medical Imaging Techniques and Applications (4 papers). Sandeep Dalal is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Medical Imaging Techniques and Applications (4 papers). Sandeep Dalal collaborates with scholars based in United States, Finland and India. Sandeep Dalal's co-authors include Christopher S. Hall, Martin L. Gunn, Thusitha Mabotuwana, Bradford J. Wood, Aradhana M. Venkatesan, Charles S. White, Jochen Krücker, Ekta Dharaiya, Elliot Levy and Roberto Maass‐Moreno and has published in prestigious journals such as Radiology, American Journal of Roentgenology and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Sandeep Dalal

20 papers receiving 306 citations

Peers

Sandeep Dalal
Rickhesvar Mahraj United States
Nicholas T. Befera United States
Guillaume Chabin United States
Kimberly Kallianos United States
Gil-Sun Hong South Korea
Sandeep Dalal
Citations per year, relative to Sandeep Dalal Sandeep Dalal (= 1×) peers Michael Püsken

Countries citing papers authored by Sandeep Dalal

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Dalal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Dalal

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Dalal. A scholar is included among the top collaborators of Sandeep Dalal 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 Sandeep Dalal. Sandeep Dalal 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.
Dalal, Sandeep, et al.. (2024). Comparative analysis of machine learning techniques for enhanced vehicle tracking and analysis. Transportation Engineering. 18. 100271–100271. 1 indexed citations
2.
Wang, Xin, et al.. (2022). PENet: Continuous-Valued Pulmonary Edema Severity Prediction On Chest X-ray Using Siamese Convolutional Networks. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 1834–1838. 3 indexed citations
3.
Hossain, Rydhwana, Jean Jeudy, Farouk Dako, et al.. (2021). Lung-RADS Version 1.0 versus Lung-RADS Version 1.1: Comparison of Categories Using Nodules from the National Lung Screening Trial. Radiology. 300(1). 199–206. 40 indexed citations
4.
Dalal, Sandeep, Wei‐Hung Weng, Thusitha Mabotuwana, et al.. (2019). Determining Follow-Up Imaging Study Using Radiology Reports. Journal of Digital Imaging. 33(1). 121–130. 15 indexed citations
5.
White, Charles S., Ekta Dharaiya, Sandeep Dalal, Rong Chen, & Linda B. Haramati. (2019). Vancouver Risk Calculator Compared with ACR Lung-RADS in Predicting Malignancy: Analysis of the National Lung Screening Trial. Radiology. 291(1). 205–211. 29 indexed citations
6.
Wang, Xin, Jonathan Rubin, Seth J. Berkowitz, et al.. (2019). Pulmonary Edema Severity Estimation in Chest Radiographs Using Deep Learning. 3 indexed citations
7.
Mabotuwana, Thusitha, Christopher S. Hall, Usha Nandini Raghavan, et al.. (2019). Automated Tracking of Follow-Up Imaging Recommendations. American Journal of Roentgenology. 212(6). 1287–1294. 31 indexed citations
8.
Mabotuwana, Thusitha, et al.. (2018). Determining Adherence to Follow-up Imaging Recommendations. Journal of the American College of Radiology. 15(3). 422–428. 46 indexed citations
9.
Mabotuwana, Thusitha, Christopher S. Hall, Sandeep Dalal, Joel S. Tieder, & Martin L. Gunn. (2017). Extracting Follow-Up Recommendations and Associated Anatomy from Radiology Reports.. PubMed. 245. 1090–1094. 6 indexed citations
10.
Wiemker, Rafael, Merlijn Sevenster, Heber MacMahon, et al.. (2017). Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 1013421–1013421. 3 indexed citations
11.
Dalal, Sandeep, et al.. (2014). MEMORY EFFICIENT WDR (WAVELET DIFFERENCE REDUCTION) using INVERSE OF ECHELON FORM by EQUATION SOLVING. 2 indexed citations
12.
Venkatesan, Aradhana M., Samuel Kadoury, Nadine Abi‐Jaoudeh, et al.. (2011). Real-time FDG PET Guidance during Biopsies and Radiofrequency Ablation Using Multimodality Fusion with Electromagnetic Navigation. Radiology. 260(3). 848–856. 88 indexed citations
13.
Kadoury, Samuel, Bradford J. Wood, Aradhana M. Venkatesan, et al.. (2011). Accuracy assessment of an automatic image-based PET/CT registration for ultrasound-guided biopsies and ablations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7964. 79642P–79642P. 4 indexed citations
14.
Woo, Jonghye, et al.. (2010). 3D TEE registration with MR for cardiac interventional applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7625. 76252I–76252I. 1 indexed citations
15.
Dalal, Sandeep, et al.. (2009). Automated RFA planning for complete coverage of large tumors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7261. 72610D–72610D. 10 indexed citations
16.
Dalal, Sandeep, et al.. (2007). Multimodality image guidance system integrating X-ray fluoroscopy and ultrasound image streams with electromagnetic tracking. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6509. 65090K–65090K. 3 indexed citations
17.
Manzke, Robert, et al.. (2006). Intra-operative Volume Imaging of the Left Atrium and Pulmonary Veins with Rotational X-Ray Angiography. Lecture notes in computer science. 9(Pt 1). 604–611. 16 indexed citations
18.
Krupinski, Elizabeth A., et al.. (2006). Potential use of a large-screen display for interpreting radiographic images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6146. 614607–614607. 2 indexed citations
19.
Dalal, Sandeep & S. Satyanarayana. (2005). Application Of Fuzzy Logic To Picture Quality Improvement In Televisions. 346–347. 1 indexed citations
20.
Dalal, Sandeep, et al.. (1981). Developmental defects of the lungs. European Journal of Nuclear Medicine and Molecular Imaging. 6(6). 265–7.

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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