Sérgio Pereira

11.7k total citations · 1 hit paper
34 papers, 3.0k citations indexed

About

Sérgio Pereira is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Sérgio Pereira has authored 34 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Artificial Intelligence. Recurrent topics in Sérgio Pereira's work include Advanced Neural Network Applications (10 papers), Medical Image Segmentation Techniques (9 papers) and Brain Tumor Detection and Classification (9 papers). Sérgio Pereira is often cited by papers focused on Advanced Neural Network Applications (10 papers), Medical Image Segmentation Techniques (9 papers) and Brain Tumor Detection and Classification (9 papers). Sérgio Pereira collaborates with scholars based in Portugal, South Korea and United States. Sérgio Pereira's co-authors include Carlos A. Silva, Adriano Pinto, Victor Alves, Raphael Meier, Mauricio Reyes, Roland Wiest, Fried-Michael Dahlweid, Ronald M. Summers, Hendrik von Tengg‐Kobligk and Seonwook Park and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Green Chemistry.

In The Last Decade

Sérgio Pereira

32 papers receiving 2.9k 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.

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

2016 1.8k citations Sérgio Pereira, Adriano Pinto et al. profile →

Peers

Countries citing papers authored by Sérgio Pereira

Since Specialization

Citations

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

Fields of papers citing papers by Sérgio Pereira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sérgio Pereira

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

#	Work	Indexed citations
1	Clinical Validation of Artificial Intelligence–Powered PD-L1 Tumor Proportion Score Interpretation for Immune Checkpoint Inhibitor Response Prediction in Non–Small Cell Lung Cancer 2024 ·JCO Precision Oncology ·Hyojin Kim, Seokhwi Kim, Sangjoon Choi, Changhee Park, Seonwook Park, Sérgio Pereira, Minuk Ma, Donggeun Yoo, Kyunghyun Paeng, (unknown), Sehhoon Park, Chan‐Young Ock, Se‐Hoon Lee, (unknown), Jin-Haeng Chung	12
2	Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases 2024 ·Breast Cancer Research ·Minsun Jung, (unknown), Soo Ick Cho, Sangwon Shin, Taebum Lee, Wonkyung Jung, Hajin Lee, Ji Young Park, Sanghoon Song, Gahee Park, (unknown), Seonwook Park, Jinhee Lee, Mingu Kang, Jongchan Park, Sérgio Pereira, Dong‐Geun Yoo, (unknown), Siraj M. Ali, So‐Woon Kim	14
3	Identification of HER2 ultra-low based on an artificial intelligence (AI)-powered HER2 subcellular quantification from HER2 immunohistochemistry images. 2024 ·Journal of Clinical Oncology ·(unknown), Taebum Lee, Sangwon Shin, Biagio Brattoli, (unknown), Gahee Park, Sukjun Kim, Hyunwoo Lee, Yoon Ah Cho, Eun Yoon Cho, So‐Woon Kim, Sérgio Pereira, Chang Ho Ahn, Siraj M. Ali, (unknown), Chan‐Young Ock	0
4	Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer 2023 ·npj Breast Cancer ·Sangjoon Choi, Soo Ick Cho, (unknown), Taebum Lee, (unknown), Sanghoon Song, Gahee Park, Seonwook Park, Minuk Ma, Sérgio Pereira, (unknown), Seung-Hwan Shin, Chan‐Young Ock, Seokhwi Kim	23
5	Benchmarking Self-Supervised Learning on Diverse Pathology Datasets 2023 ·Mingu Kang, (unknown), Seonwook Park, Dong‐Geun Yoo, Sérgio Pereira	67
6	A Phase II Study of Nivolumab plus Gemcitabine in Patients with Recurrent or Metastatic Nasopharyngeal Carcinoma (KCSG HN17–11) 2022 ·Clinical Cancer Research ·Hyun Ae Jung, Keon Uk Park, Sang‐Hee Cho, Jinyeong Lim, Keun‐Wook Lee, Min Hee Hong, Tak Yun, Ho Jung An, Woong‐Yang Park, Sérgio Pereira, Chan‐Young Ock, Bhumsuk Keam	18
7	Artificial intelligence–powered programmed death ligand 1 analyser reduces interobserver variation in tumour proportion score for non–small cell lung cancer with better prediction of immunotherapy response 2022 ·European Journal of Cancer ·Sangjoon Choi, Soo Ick Cho, Minuk Ma, Seonwook Park, Sérgio Pereira, (unknown), (unknown), Kyunghyun Paeng, (unknown), (unknown), Chan‐Young Ock, Se‐Hoon Lee, Yoon‐La Choi, Jin‐Haeng Chung, Tony Mok, Hyojin Kim, Seokhwi Kim	40
8	Artificial Intelligence-Powered Whole-Slide Image Analyzer Reveals a Distinctive Distribution of Tumor-Infiltrating Lymphocytes in Neuroendocrine Neoplasms 2022 ·Diagnostics ·(unknown), Soo Ick Cho, Sangjoon Choi, (unknown), Jiwon Shin, Gahee Park, (unknown), Minuk Ma, (unknown), (unknown), Mingu Kang, Sérgio Pereira, Kyunghyun Paeng, (unknown), Chan‐Young Ock, Seokhwi Kim	7
9	Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes predicts survival after immune checkpoint inhibitor therapy across multiple cancer types. 2021 ·Journal of Clinical Oncology ·Jeanne Shen, Taebum Lee, Jun‐Eul Hwang, Yoon‐La Choi, Se‐Hoon Lee, Hyojin Kim, Jin-Haeng Chung, (unknown), (unknown), (unknown), George A. Fisher, Sérgio Pereira, Seonwook Park, Michael Ma, (unknown), Seung-Hwan Shin, Kyunghyun Paeng, Chan‐Young Ock, Tony Mok, Yung‐Jue Bang	5
10	Combining unsupervised and supervised learning for predicting the final stroke lesion 2020 ·Medical Image Analysis ·Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva	25
11	On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities 2020 ·Radiology Artificial Intelligence ·Mauricio Reyes, Raphael Meier, Sérgio Pereira, Carlos A. Silva, Fried-Michael Dahlweid, Hendrik von Tengg‐Kobligk, Ronald M. Summers, Roland Wiest	283
12	Learning Programming Using Educational Robotics 2019 ·Revista de Estudos Anglo-Portugueses/Journal of Anglo-Portuguese Studies ·(unknown), Sérgio Pereira, Manuela Aparício, Carlos J. Costa	10
13	Hierarchical brain tumour segmentation using extremely randomized trees 2018 ·Pattern Recognition ·Adriano Pinto, Sérgio Pereira, (unknown), Carlos A. Silva	72
14	Understanding and Interpreting Machine Learning in Medical Image Computing Applications 2018 ·Lecture notes in computer science ·Danail Stoyanov, Zeike A. Taylor, Seyed Mostafa Kia, İpek Oğuz, Mauricio Reyes, Anne L. Martel, Klaus Maier‐Hein, André F. Marquand, Édouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier	68
15	Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation 2017 ·Medical Image Analysis ·Sérgio Pereira, Raphael Meier, Richard McKinley, Roland Wiest, Victor Alves, Carlos A. Silva, Mauricio Reyes	79
16	On hierarchical brain tumor segmentation in MRI using fully convolutional neural networks: A preliminary study 2017 ·Sérgio Pereira, (unknown), Victor Alves, Carlos A. Silva	29
17	Multi-surface segmentation of OCT images with AMD using sparse high order potentials 2016 ·Biomedical Optics Express ·(unknown), Sérgio Pereira, (unknown), Manuel Ferreira, Carlos A. Silva	28
18	Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields 2016 ·Journal of Neuroscience Methods ·Sérgio Pereira, Adriano Pinto, (unknown), Adriënne M. Mendrik, J. H. Correia, Carlos A. Silva	43
19	Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features 2015 ·PubMed ·Adriano Pinto, Sérgio Pereira, (unknown), (unknown), (unknown), Carlos A. Silva	69
20	Automatic Brain Tissue Segmentation of Multi-sequence MR Images Using Random Decision Forests 2013 ·Sérgio Pereira, (unknown), José Mariz, Nuno Sousa, (unknown)	20

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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