Atul Padole

1.8k total citations · 1 hit paper
33 papers, 1.3k citations indexed

About

Atul Padole is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Atul Padole has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Biomedical Engineering and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Atul Padole's work include Radiation Dose and Imaging (25 papers), Advanced X-ray and CT Imaging (23 papers) and Medical Imaging Techniques and Applications (15 papers). Atul Padole is often cited by papers focused on Radiation Dose and Imaging (25 papers), Advanced X-ray and CT Imaging (23 papers) and Medical Imaging Techniques and Applications (15 papers). Atul Padole collaborates with scholars based in United States, Italy and Germany. Atul Padole's co-authors include Mannudeep K. Kalra, Sarabjeet Singh, Ranish Deedar Ali Khawaja, Subba R. Digumarthy, Chayanin Nitiwarangkul, Fatemeh Homayounieh, Uwe Krüger, Hongming Shan, Ruhani Doda Khera and Ge Wang and has published in prestigious journals such as PLoS ONE, American Journal of Roentgenology and Medical Physics.

In The Last Decade

Atul Padole

32 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

2019 280 citations Hongming Shan, Atul Padole et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Atul Padole United States	18	1.1k	701	324	92	66	33	1.3k
Ramandeep Singh United States	17	844 0.8×	481 0.7×	311 1.0×	88 1.0×	108 1.6×	54	1.1k
Fatemeh Homayounieh United States	17	857 0.8×	429 0.6×	222 0.7×	99 1.1×	106 1.6×	46	1.1k
William F. Sensakovic United States	15	566 0.5×	226 0.3×	328 1.0×	88 1.0×	59 0.9×	52	811
Samuel L. Brady United States	17	1.2k 1.1×	901 1.3×	347 1.1×	22 0.2×	27 0.4×	54	1.4k
Yuting Liao China	16	780 0.7×	220 0.3×	221 0.7×	46 0.5×	91 1.4×	82	1.4k
Russell D. Folks United States	24	1.8k 1.7×	515 0.7×	230 0.7×	57 0.6×	23 0.3×	90	2.3k
D S Brettle United Kingdom	19	446 0.4×	275 0.4×	267 0.8×	53 0.6×	198 3.0×	52	857
Chayanin Nitiwarangkul Thailand	7	447 0.4×	236 0.3×	144 0.4×	89 1.0×	55 0.8×	20	562
Katharina Martini Switzerland	22	955 0.9×	714 1.0×	393 1.2×	10 0.1×	35 0.5×	78	1.3k
Florian Prayer Austria	11	413 0.4×	127 0.2×	240 0.7×	45 0.5×	100 1.5×	36	646

Countries citing papers authored by Atul Padole

Since Specialization

Citations

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

Fields of papers citing papers by Atul Padole

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atul Padole

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

All Works

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20 of 20 papers shown

Padole, Atul, Ramandeep Singh, Éric Zhang, et al.. (2020). Radiomic features of primary tumor by lung cancer stage: analysis in BRAF mutated non-small cell lung cancer. Translational Lung Cancer Research. 9(4). 1441–1451. 9 indexed citations

Padole, Atul, Pallavi Sagar, Sjirk J. Westra, et al.. (2019). Development and validation of image quality scoring criteria (IQSC) for pediatric CT: a preliminary study. Insights into Imaging. 10(1). 95–95. 23 indexed citations

Digumarthy, Subba R., Atul Padole, Melissa C. Price, et al.. (2019). Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?. Cancer Imaging. 19(1). 36–36. 39 indexed citations

Mendoza, Dexter P., Ibiayi Dagogo‐Jack, Tianqi Chen, et al.. (2019). Imaging characteristics of BRAF-mutant non-small cell lung cancer by functional class. Lung Cancer. 129. 80–84. 20 indexed citations

Shan, Hongming, Atul Padole, Fatemeh Homayounieh, et al.. (2019). Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. Nature Machine Intelligence. 1(6). 269–276. 280 indexed citations breakdown →

Singh, Ramandeep, Mannudeep K. Kalra, Chayanin Nitiwarangkul, et al.. (2018). Deep learning in chest radiography: Detection of findings and presence of change. PLoS ONE. 13(10). e0204155–e0204155. 143 indexed citations

Hu, Ranliang, Atul Padole, & Rajiv Gupta. (2017). Dual-Energy Computed Tomographic Applications for Differentiation of Intracranial Hemorrhage, Calcium, and Iodine. Neuroimaging Clinics of North America. 27(3). 401–409. 18 indexed citations

Padole, Atul, Ranish Deedar Ali Khawaja, Alexi Otrakji, et al.. (2016). Comparison of Measured and Estimated CT Organ Doses for Modulated and Fixed Tube Current:. Academic Radiology. 23(5). 634–642. 5 indexed citations

Padole, Atul, Nisha I. Sainani, Ranish Deedar Ali Khawaja, et al.. (2016). Assessment of sub-milli-sievert abdominal computed tomography with iterative reconstruction techniques of different vendors. World Journal of Radiology. 8(6). 618–618. 8 indexed citations

10.

Khawaja, Ranish Deedar Ali, Sarabjeet Singh, Atul Padole, et al.. (2016). Point Organ Radiation Dose in Abdominal CT: Effect of Patient Off-Centering in an Experimental Human Cadaver Study. Radiation Protection Dosimetry. 175(4). 440–449. 10 indexed citations

11.

Li, Xinhua, Da Zhang, Sarabjeet Singh, et al.. (2015). A new technique to characterize CT scanner bow‐tie filter attenuation and applications in human cadaver dosimetry simulations. Medical Physics. 42(11). 6274–6282. 12 indexed citations

12.

Khawaja, Ranish Deedar Ali, Sarabjeet Singh, Michael A. Blake, et al.. (2015). Ultralow-Dose Abdominal Computed Tomography. Journal of Computer Assisted Tomography. 39(4). 489–498. 11 indexed citations

13.

Padole, Atul, Sarabjeet Singh, Michael A. Blake, et al.. (2015). Assessment of Filtered Back Projection, Adaptive Statistical, and Model-Based Iterative Reconstruction for Reduced Dose Abdominal Computed Tomography. Journal of Computer Assisted Tomography. 39(4). 462–467. 25 indexed citations

14.

Khawaja, Ranish Deedar Ali, Sarabjeet Singh, Alexi Otrakji, et al.. (2014). Dose reduction in pediatric abdominal CT: use of iterative reconstruction techniques across different CT platforms. Pediatric Radiology. 45(7). 1046–1055. 45 indexed citations

15.

Khawaja, Ranish Deedar Ali, Sarabjeet Singh, Rolf Bippus, et al.. (2014). Role of Compressive Sensing Technique in Dose Reduction for Chest Computed Tomography. Journal of Computer Assisted Tomography. 38(5). 760–767. 4 indexed citations

16.

Pourjabbar, Sarvenaz, Sarabjeet Singh, Amita Sharma, et al.. (2014). What Is the Minimal Radiation Dose That Can Be Used for Detecting Pleural Effusion?. American Journal of Roentgenology. 203(1). 118–122. 1 indexed citations

17.

Zhang, Da, Atul Padole, Xinhua Li, et al.. (2014). In vitro dose measurements in a human cadaver with abdomen/pelvis CT scans. Medical Physics. 41(9). 91911–91911. 10 indexed citations

18.

Khawaja, Ranish Deedar Ali, Sarabjeet Singh, Michael A. Blake, et al.. (2014). Ultra-low dose abdominal MDCT: Using a knowledge-based Iterative Model Reconstruction technique for substantial dose reduction in a prospective clinical study. European Journal of Radiology. 84(1). 2–10. 40 indexed citations

19.

Singh, Sarabjeet, et al.. (2013). Iterative Image Reconstruction and Its Role in Cardiothoracic Computed Tomography. Journal of Thoracic Imaging. 28(6). 355–367. 15 indexed citations

20.

Singh, Sarabjeet, Mannudeep K. Kalra, Ranish Deedar Ali Khawaja, et al.. (2013). Radiation Dose Optimization and Thoracic Computed Tomography. Radiologic Clinics of North America. 52(1). 1–15. 28 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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