Soumya Ghose

3.0k total citations · 1 hit paper
53 papers, 1.4k citations indexed

About

Soumya Ghose is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Soumya Ghose has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Computer Vision and Pattern Recognition and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Soumya Ghose's work include Medical Image Segmentation Techniques (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). Soumya Ghose is often cited by papers focused on Medical Image Segmentation Techniques (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). Soumya Ghose collaborates with scholars based in United States, Australia and France. Soumya Ghose's co-authors include Anant Madabhushi, Rajat Thawani, Prateek Prasanna, Niha Beig, Michael J. McLane, Vamsidhar Velcheti, Jhimli Mitra, Robert Martí, Xavier Lladó and Joan C. Vilanova and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Soumya Ghose

51 papers receiving 1.4k citations

Hit Papers

1 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.

Radiomics and radiogenomics in lung cancer: A review for the clinician

2017 349 citations Rajat Thawani, Michael J. McLane et al. Lung Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soumya Ghose United States	15	909	566	360	336	213	53	1.4k
Hidetaka Arimura Japan	19	819 0.9×	547 1.0×	223 0.6×	185 0.6×	245 1.2×	123	1.3k
Sibo Tian United States	23	767 0.8×	596 1.1×	362 1.0×	363 1.1×	157 0.7×	107	1.7k
Alessandro Stefano Italy	25	880 1.0×	431 0.8×	298 0.8×	183 0.5×	207 1.0×	82	1.3k
Steve Bandula United Kingdom	14	788 0.9×	265 0.5×	351 1.0×	211 0.6×	121 0.6×	34	1.4k
Jifke F. Veenland Netherlands	22	733 0.8×	418 0.7×	342 0.9×	136 0.4×	173 0.8×	51	1.4k
Kyunghyun Sung United States	23	1.4k 1.5×	510 0.9×	348 1.0×	286 0.9×	208 1.0×	91	2.0k
Xiaokun Liang China	18	910 1.0×	237 0.4×	506 1.4×	268 0.8×	181 0.8×	71	1.3k
Yong Yin China	21	1.1k 1.2×	799 1.4×	255 0.7×	188 0.6×	145 0.7×	195	1.8k
Nico Karssemeijer Netherlands	19	955 1.1×	645 1.1×	255 0.7×	470 1.4×	645 3.0×	61	1.6k
Jan Hendrik Moltz Germany	16	644 0.7×	294 0.5×	174 0.5×	211 0.6×	204 1.0×	47	965

Countries citing papers authored by Soumya Ghose

Since Specialization

Citations

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

Fields of papers citing papers by Soumya Ghose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soumya Ghose

This figure shows the co-authorship network connecting the top 25 collaborators of Soumya Ghose. A scholar is included among the top collaborators of Soumya Ghose 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 Soumya Ghose. Soumya Ghose 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

Mitra, Jhimli, et al.. (2024). A Multichannel CT and Radiomics-Guided CNN-ViT (RadCT-CNNViT) Ensemble Network for Diagnosis of Pulmonary Sarcoidosis. Diagnostics. 14(10). 1049–1049. 10 indexed citations

Ghose, Soumya, Elizabeth McDonough, Jonhan Ho, et al.. (2023). 3D reconstruction of skin and spatial mapping of immune cell density, vascular distance and effects of sun exposure and aging. Communications Biology. 6(1). 718–718. 9 indexed citations

Shiradkar, Rakesh, Soumya Ghose, Amr Mahran, et al.. (2022). Prostate Surface Distension and Tumor Texture Descriptors From Pre-Treatment MRI Are Associated With Biochemical Recurrence Following Radical Prostatectomy: Preliminary Findings. Frontiers in Oncology. 12. 841801–841801. 14 indexed citations

Thawani, Rajat, Michael J. McLane, Niha Beig, et al.. (2017). Radiomics and radiogenomics in lung cancer: A review for the clinician. Lung Cancer. 115. 34–41. 349 indexed citations breakdown →

Ghose, Soumya, Jason Dowling, Robba Rai, & Gary Liney. (2017). Substitute CT generation from a single ultra short time echo MRI sequence: preliminary study. Physics in Medicine and Biology. 62(8). 2950–2960. 11 indexed citations

Ghose, Soumya, Peter B. Greer, Peter‐Paul Pichler, et al.. (2017). Regression and statistical shape model based substitute CT generation for MRI alone external beam radiation therapy from standard clinical MRI sequences. Physics in Medicine and Biology. 62(22). 8566–8580. 6 indexed citations

Rusu, Mirabela, Andrei S. Purysko, Sadhna Verma, et al.. (2017). Computational imaging reveals shape differences between normal and malignant prostates on MRI. Scientific Reports. 7(1). 41261–41261. 8 indexed citations

Ghose, Soumya, Rakesh Shiradkar, Mirabela Rusu, et al.. (2017). Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary Findings. Scientific Reports. 7(1). 15829–15829. 9 indexed citations

Mitra, Jhimli, Kaikai Shen, Soumya Ghose, et al.. (2016). Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks. NeuroImage. 129. 247–259. 49 indexed citations

10.

Ghose, Soumya, James W. Denham, Martin A. Ebert, et al.. (2016). Multi-atlas and unsupervised learning approach to perirectal space segmentation in CT images. Australasian Physical & Engineering Sciences in Medicine. 39(4). 933–941. 3 indexed citations

11.

Ghose, Soumya, Jhimli Mitra, Sankalp Khanna, & Jason Dowling. (2015). An Improved Patient-Specific Mortality Risk Prediction in ICU in a Random Forest Classification Framework. Studies in health technology and informatics. 214. 56–61. 13 indexed citations

12.

Ghose, Soumya, Lois Holloway, Karen Lim, et al.. (2015). A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning. Artificial Intelligence in Medicine. 64(2). 75–87. 47 indexed citations

13.

Dowling, Jason, Peter‐Paul Pichler, David Rivest‐Hénault, et al.. (2015). Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI)-Alone External Beam Radiation Therapy From Standard MRI Sequences. International Journal of Radiation Oncology*Biology*Physics. 93(5). 1144–1153. 139 indexed citations

14.

Mitra, Jhimli, Pierrick Bourgeat, Jürgen Fripp, et al.. (2014). Lesion segmentation from multimodal MRI using random forest following ischemic stroke. NeuroImage. 98. 324–335. 114 indexed citations

15.

Mitra, Jhimli, Soumya Ghose, Désiré Sidibé, et al.. (2012). Joint probability of shape and image similarities to retrieve 2D TRUS-MR slice correspondence for prostate biopsy. PubMed. 35. 5416–5419. 3 indexed citations

16.

Ghose, Soumya, Jhimli Mitra, Arnau Oliver, et al.. (2012). Spectral clustering of shape and probability prior models for automatic prostate segmentation. PubMed. 6361. 2335–2338. 4 indexed citations

17.

Ghose, Soumya, Arnau Oliver, Robert Martí, et al.. (2011). Statistical shape and texture model of quadrature phase information for prostate segmentation. International Journal of Computer Assisted Radiology and Surgery. 7(1). 43–55. 15 indexed citations

18.

Mitra, Jhimli, Robert Martí, Arnau Oliver, et al.. (2011). Prostate multimodality image registration based on B-splines and quadrature local energy. International Journal of Computer Assisted Radiology and Surgery. 7(3). 445–454. 10 indexed citations

19.

Ghose, Soumya, Arnau Oliver, Robert Martí, et al.. (2010). Prostate Segmentation with Texture Enhanced Active Appearance Model. 18–22. 15 indexed citations

20.

Sivakumaran, Theru A., Soumya Ghose, Harsh Kumar, Ajay K. Sethi, & Kiran Kucheria. (2000). Parental age in Indian patients with sporadic hereditary retinoblastoma. Ophthalmic Epidemiology. 7(4). 285–291. 8 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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