Alexandros Karargyris

According to our database, Alexandros Karargyris authored at least 60 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration.

Julia Alekseenko, Bram Stieltjes, Michael Bach, Melanie Boerries, Oliver Opitz, Alexandros Karargyris, Nicolas Padoy

CoRR, 2024

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.

Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Anna Zapaishchykova, Julija Pavaine, Lubdha M. Shah, Blaise V. Jones, Nakul Sheth, Sanjay P. Prabhu, Aaron S. McAllister, Wenxin Tu, Khanak K. Nandolia, Andres Felipe Rodriguez, Ibraheem Salman Shaikh, Mariana Sanchez-Montano, Hollie Anne Lai, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Hannah Anderson, Syed Muhammed Anwar, Alejandro Aristizabal, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, James A. Eddy, Ivan Ezhov, Ariana M. Familiar, Keyvan Farahani, Deep Gandhi, Anurag Gottipati, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Elaine, Alexandros Karargyris, Hasan Kassem, Neda Khalili, Florian Kofler, Dominic LaBella, Koen Van Leemput, Hongwei Li, Nazanin Maleki, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Sarthak Pati, Marie Piraud, Tina Poussaint, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Micah J. Sheller, Russell Takeshi Shinohara, Karthik Viswanathan, Chunhao Wang, Benedikt Wiestler, Walter F. Wiggins, Christos Davatzikos, Phillip B. Storm, Miriam Bornhorst, Roger J. Packer, Trent Hummel, Peter de Blank, Lindsey Hoffman, Mariam Aboian, Ali Nabavizadeh, Jeffrey B. Ware, Benjamin H. Kann, Brian Rood, Adam C. Resnick, Spyridon Bakas, Arastoo Vossough, Marius George Linguraru

CoRR, 2024

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.

Dominic LaBella, Katherine Schumacher, Michael Mix, Kevin Leu, Shan McBurney-Lin, Pierre Nedelec, Javier E. Villanueva-Meyer, Jonathan Shapey, Tom Vercauteren, Kazumi Chia, Omar Al-Salihi, Justin Leu, Lia Halasz, Yury Velichko, Chunhao Wang, John Kirkpatrick, Scott Floyd, Zachary J. Reitman, Trey Mullikin, Ulas Bagci, Sean Sachdev, Jona A. Hattangadi-Gluth, Tyler M. Seibert, Nikdokht Farid, Connor Puett, Matthew W. Pease, Kevin Shiue, Syed Muhammad Anwar, Shahriar Faghani, Muhammad Ammar Haider, Pranav I. Warman, Jake Albrecht, András Jakab, Mana Moassefi, Verena Chung, Alejandro Aristizabal, Alexandros Karargyris, Hasan Kassem, Sarthak Pati, Micah J. Sheller, Christina Huang, Aaron Coley, Siddharth Ghanta, Alex Schneider, Conrad Sharp, Rachit Saluja, Florian Kofler, Philipp Lohmann, Philipp Vollmuth, Louis Gagnon, Maruf Adewole, Hongwei Bran Li, Anahita Fathi Kazerooni, Nourel Hoda Tahon, Udunna Anazodo, Ahmed W. Moawad, Bjoern H. Menze, Marius George Linguraru, Mariam Aboian, Benedikt Wiestler, Ujjwal Baid, Gian Marco Conte, Andreas M. Rauschecker, Ayman Nada, Aly H. Abayazeed, Raymond Y. Huang, Maria Correia de Verdier, Jeffrey D. Rudie, Spyridon Bakas, Evan Calabrese

CoRR, 2024

BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions.

Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati, Shubham Innani, Bhakti Baheti, Jake Albrecht, Alexandros Karargyris, Hasan Kassem, MacLean P. Nasrallah, Jared T. Ahrendsen, Valeria Barresi, Maria A. Gubbiotti, Giselle Y. López, Calixto-Hope G. Lucas, Michael L. Miller, Lee A. D. Cooper, Jason T. Huse, William R. Bell

CoRR, 2024

Towards Real-Time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery.

Karl-Philippe Beaudet, Alexandros Karargyris, Sidaty El Hadramy, Stéphane Cotin, Jean-Paul Mazellier, Nicolas Padoy, Juan Verde

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Dissecting self-supervised learning methods for surgical computer vision.

Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Saurav Sharma, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy

Medical Image Anal., August, 2023

Federated benchmarking of medical artificial intelligence with MedPerf.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson

Nat. Mac. Intell., July, 2023

Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases.

Hasan Kassem, Deepak Alapatt, Pietro Mascagni, Alexandros Karargyris, Nicolas Padoy

IEEE Trans. Medical Imaging, 2023

Understanding metric-related pitfalls in image analysis validation.

Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein

CoRR, 2023

Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session.

Alexandros Karargyris, Shuaib Ahmed, Ryan Anthony J. de Belen, Bonny Banerjee, Timur Ibrayev, Satyananda Kashyap, Elizabeth A. Krupinski, Chenyi Kuang, Paul Madu, Amarachi Madu, Silvia Makowski, Athul Mathew, Tim Rolff, Bert Shi, Joy T. Wu, Danca Zario

Proceedings of the Gaze Meets Machine Learning Workshop, 2023

2022

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision.

Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy

CoRR, 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.

Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger

CoRR, 2022

Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases.

Hasan Kassem, Deepak Alapatt, Pietro Mascagni, AI4SafeChole Consortium, Alexandros Karargyris, Nicolas Padoy

CoRR, 2022

Self-supervised learning via cluster distance prediction for operating room context awareness.

Idris Hamoud, Alexandros Karargyris, Aidean Sharghi, Omid Mohareri, Nicolas Padoy

Int. J. Comput. Assist. Radiol. Surg., 2022

Preface.

Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi

Proceedings of The 1st Gaze Meets ML workshop, 2022

2021

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph.

Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi

npj Digit. Medicine, 2021

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson

CoRR, 2021

Self-training with improved regularization for sample-efficient chest x-ray classification.

Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

A Review of Medical Federated Learning: Applications in Oncology and Cancer Research.

Alexander Chowdhury, Hasan Kassem, Nicolas Padoy, Renato Umeton, Alexandros Karargyris

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development.

Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana V. Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi

CoRR, 2020

Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification.

Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap

CoRR, 2020

Chest X-Ray Report Generation Through Fine-Grained Label Learning.

Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.

Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Quality controlled segmentation to aid disease detection.

Mehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities.

Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning.

Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Towards Visual Dialog for Radiology.

Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Joy T. Wu, Deddeh Ballah, Adam Coy, Alexandros Karargyris, Yufan Guo, David James Beymer, Anna Rumshisky, Vandana V. Mukherjee

Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

2019

Deep Endoscopic Visual Measurements.

Dimitrios K. Iakovidis, George Dimas, Alexandros Karargyris, Federico Bianchi, Gastone Ciuti, Anastasios Koulaouzidis

IEEE J. Biomed. Health Informatics, 2019

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays.

Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu

CoRR, 2019

Visual Dialog for Radiology: Data Curation and FirstSteps.

Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Adam Coy, Deddeh Ballah, Yufan Guo, Joy T. Wu, Alexandros Karargyris, David Beymer, Anna Rumshisky, Vandana V. Mukherjee

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Artificial intelligence for point of care radiograph quality assessment.

Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Age prediction using a large chest x-ray dataset.

Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.

Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, K. Seshadhri, Weiting Wang, Ken C. L. Wong, Joy T. Wu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers.

Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation.

Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs.

Szilárd Vajda, Alexandros Karargyris, Stefan Jäger, KC Santosh, Sema Candemir, Zhiyun Xue, Sameer K. Antani, George R. Thoma

J. Medical Syst., 2018

Chest x-ray generation and data augmentation for cardiovascular abnormality classification.

Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation.

Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth L. Clarkson, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation.

Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Universal multi-modal deep network for classification and segmentation of medical images.

Ahmed Harouni, Alexandros Karargyris, Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Building Disease Detection Algorithms with Very Small Numbers of Positive Samples.

Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Visual Localization of Wireless Capsule Endoscopes Aided by Artificial Neural Networks.

George Dimas, Dimitrios K. Iakovidis, Gastone Ciuti, Alexandros Karargyris, Anastasios Koulaouzidis

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

A preliminary study for automatic accurate detection of adenomatous polyps in the small intestine.

T. Dassopoulos, Alexandros Karargyris, Sokratis Makrogiannis, Nikolaos G. Bourbakis

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays.

Alexandros Karargyris, Jenifer Siegelman, Dimitris Tzortzis, Stefan Jaeger, Sema Candemir, Zhiyun Xue, KC Santosh, Szilárd Vajda, Sameer K. Antani, Les R. Folio, George R. Thoma

Int. J. Comput. Assist. Radiol. Surg., 2016

2015

OdoCapsule: Next-Generation Wireless Capsule Endoscopy With Accurate Lesion Localization and Video Stabilization Capabilities.

Alexandros Karargyris, Anastastios Koulaouzidis

IEEE Trans. Biomed. Eng., 2015

Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control.

KC Santosh, Sema Candemir, Stefan Jäger, Alexandros Karargyris, Sameer K. Antani, George R. Thoma, Les R. Folio

Int. J. Pattern Recognit. Artif. Intell., 2015

Color Space Transformation Network.

Alexandros Karargyris

CoRR, 2015

2014

Automatic Tuberculosis Screening Using Chest Radiographs.

Stefan Jaeger, Alexandros Karargyris, Sema Candemir, Les R. Folio, Jenifer Siegelman, Fiona M. Callaghan, Zhiyun Xue, Kannappan Palaniappan, Rahul K. Singh, Sameer K. Antani, George R. Thoma, Yi-Xiang J. Wang, Pu-Xuan Lu, Clement J. McDonald

IEEE Trans. Medical Imaging, 2014

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration.

Sema Candemir, Stefan Jaeger, Kannappan Palaniappan, Jonathan P. Musco, Rahul K. Singh, Zhiyun Xue, Alexandros Karargyris, Sameer K. Antani, George R. Thoma, Clement J. McDonald

IEEE Trans. Medical Imaging, 2014

Rotation Detection in Chest Radiographs Based on Generalized Line Histogram of Rib-Orientations.

KC Santosh, Sema Candemir, Stefan Jäger, Les R. Folio, Alexandros Karargyris, Sameer K. Antani, George R. Thoma

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2012

Automatic Detection of Similarities and Differences between Small bowel Polyps and Ulcers with a Data Mining Approach in Wireless Capsule Endoscopy Videos.

Alexandros Karargyris, M. Pouagare, Orestis Karargyris, Nikolaos G. Bourbakis

Int. J. Artif. Intell. Tools, 2012

DERMA/Care: An Advanced image-Processing Mobile Application for Monitoring Skin Cancer.

Alexandros Karargyris, Orestis Karargyris, Alexandros Pantelopoulos

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Detecting tuberculosis in radiographs using combined lung masks.

Stefan Jaeger, Alexandros Karargyris, Sameer K. Antani, George R. Thoma

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Three-Dimensional Reconstruction of the Digestive Wall in Capsule Endoscopy Videos Using Elastic Video Interpolation.

Alexandros Karargyris, Nikolaos G. Bourbakis

IEEE Trans. Medical Imaging, 2011

Detection of Small Bowel Polyps and Ulcers in Wireless Capsule Endoscopy Videos.

Alexandros Karargyris, Nikolaos G. Bourbakis

IEEE Trans. Biomed. Eng., 2011

Segmenting anatomy in chest x-rays for tuberculosis screening.

Alexandros Karargyris, Sameer K. Antani, George R. Thoma

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

3D Representation of the Digestive Tract Surface in Wireless Capsule Endoscopy Videos.

Alexandros Karargyris, Orestis Karargyris, Nikolaos G. Bourbakis

Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

An Elastic Video Interpolation Methodology for Wireless Capsule Endoscopy Videos.

Alexandros Karargyris, Nikolaos G. Bourbakis

Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009

Identification of Ulcers in Wireless Capsule Endoscopy Videos.

Alexandros Karargyris, Nikolaos G. Bourbakis

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

A methodology for detecting blood-based abnormalities in Wireless Capsule Endoscopy videos.

Alexandros Karargyris, Nikolaos G. Bourbakis

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008