Alexandros Karargyris

75 papers B 4C 4Journal 39Unranked 25
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Technical Policy Blueprint for Trustworthy Decentralized AI.
CoRR
Hasan Kassem, Sergen Cansiz, Brandon Edwards, Patrick Foley, Inken Hagestedt, Taeho Jung, Prakash Narayana Moorthy, Michael O'Connor, Bruno Rodrigues, Holger Roth, Micah J. Sheller, Dimitris Stripelis, Marc Vesin, Renato Umeton, Mic Bowman, Alexandros Karargyris
2025 J jnl
Medical Imaging AI Competitions Lack Fairness.
CoRR
Annika Reinke, Evangelia Christodoulou, Sthuthi Sadananda, A. Emre Kavur, Khrystyna Faryna, Daan Schouten, Bennett A. Landman, Carole H. Sudre, Olivier Colliot, Nicholas Heller, Sophie Loizillon, Martin Maska, Maëlys Solal, Arya Yazdan Panah, Vilma Bozgo, Ömer Sümer, Siem de Jong, Sophie Fischer, Michal Kozubek, Tim Rädsch, Nadim Hammoud, Fruzsina Molnár-Gábor, Steven Hicks, Michael A. Riegler, Anindo Saha, Vajira Thambawita, Pål Halvorsen, Amelia Jiménez-Sánchez, Qingyang Yang, Veronika Cheplygina, Sabrina Bottazzi, Alexander Seitel, Spyridon Bakas, Alexandros Karargyris, Kiran Vaidhya Venkadesh, Bram van Ginneken, Lena Maier-Hein
2024 J jnl
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
CoRR
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
2024 J jnl
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions.
CoRR
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
2024 J jnl
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.
CoRR
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
2024 J jnl
Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration.
CoRR
Julia Alekseenko, Bram Stieltjes, Michael Bach, Melanie Boerries, Oliver Opitz, Alexandros Karargyris, Nicolas Padoy
2024 — conf
Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation.
MIDL
Julia Alekseenko, Alexandros Karargyris, Nicolas Padoy
2024 J jnl
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness.
CoRR
Idris Hamoud, Alexandros Karargyris, Aidean Sharghi, Omid Mohareri, Nicolas Padoy
2024 — conf
Towards Real-Time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery.
MICCAI (6)
Karl-Philippe Beaudet, Alexandros Karargyris, Sidaty El Hadramy, Stéphane Cotin, Jean-Paul Mazellier, Nicolas Padoy, Juan Verde
2024 J jnl
Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery.
CoRR
Karl-Philippe Beaudet, Alexandros Karargyris, Sidaty El Hadramy, Stéphane Cotin, Jean-Paul Mazellier, Nicolas Padoy, Juan Verde
2023 — conf
Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session.
Gaze Meets ML
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
2023 J jnl
Dissecting self-supervised learning methods for surgical computer vision.
Medical Image Anal.
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
2023 J jnl
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases.
IEEE Trans. Medical Imaging
Hasan Kassem, Deepak Alapatt, Pietro Mascagni, Alexandros Karargyris, Nicolas Padoy
2023 J jnl
Federated benchmarking of medical artificial intelligence with MedPerf.
Nat. Mac. Intell.
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
2023 — ed.
Gaze Meets Machine Learning Workshop, 16 December 2023, New Orleans, Louisiana, USA.
Gaze Meets ML
Amarachi Madu Blessing, Joy T. Wu, Danca Zario, Elizabeth A. Krupinski, Satyananda Kashyap, Alexandros Karargyris
2023 J jnl
Understanding metric-related pitfalls in image analysis validation.
CoRR
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
2022 J jnl
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision.
CoRR
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
2022 J jnl
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases.
CoRR
Hasan Kassem, Deepak Alapatt, Pietro Mascagni, AI4SafeChole Consortium, Alexandros Karargyris, Nicolas Padoy
2022 J jnl
Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR
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
2022 — conf
Preface.
Gaze Meets ML
Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi
2022 — ed.
Proceedings of The 1st Gaze Meets ML workshop, in conjunction with the Annual Conference on Neural Information Processing Systems, 03 December 2022, New Orleans, USA
Gaze Meets ML
Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi
2022 J jnl
Self-supervised learning via cluster distance prediction for operating room context awareness.
Int. J. Comput. Assist. Radiol. Surg.
Idris Hamoud, Alexandros Karargyris, Aidean Sharghi, Omid Mohareri, Nicolas Padoy
2021 — conf
A Review of Medical Federated Learning: Applications in Oncology and Cancer Research.
BrainLes@MICCAI (1)
Alexander Chowdhury, Hasan Kassem, Nicolas Padoy, Renato Umeton, Alexandros Karargyris
2021 J jnl
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.
CoRR
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
2021 J jnl
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph.
npj Digit. Medicine
Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi
2021 — conf
Self-training with improved regularization for sample-efficient chest x-ray classification.
Computer-Aided Diagnosis
Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap
2020 — conf
Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities.
ISBI
Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020 — conf
Chest X-Ray Report Generation Through Fine-Grained Label Learning.
MICCAI (2)
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
2020 J jnl
Chest X-ray Report Generation through Fine-Grained Label Learning.
CoRR
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
2020 J jnl
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development.
CoRR
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
2020 — conf
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.
MLMI@MICCAI
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
2020 J jnl
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets.
CoRR
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
2020 — conf
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning.
ISBI
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020 J jnl
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning.
CoRR
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020 — ed.
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
ML-CDS/CLIP@MICCAI
Tanveer F. Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Marius Erdt
2020 — conf
Quality controlled segmentation to aid disease detection.
Computer-Aided Diagnosis
Mehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
2020 J jnl
Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification.
CoRR
Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap
2020 — conf
Towards Visual Dialog for Radiology.
BioNLP
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
2019 J jnl
Age prediction using a large chest X-ray dataset.
CoRR
Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019 — conf
Age prediction using a large chest x-ray dataset.
Computer-Aided Diagnosis
Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood
2019 — conf
Artificial intelligence for point of care radiograph quality assessment.
Computer-Aided Diagnosis
Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood
2019 — conf
Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers.
ISBI
Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019 J jnl
Boosting the rule-out accuracy of deep disease detection using class weight modifiers.
CoRR
Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019 — conf
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.
ISBI
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
2019 J jnl
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays.
CoRR
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
2019 J jnl
Deep Endoscopic Visual Measurements.
IEEE J. Biomed. Health Informatics
Dimitrios K. Iakovidis, George Dimas, Alexandros Karargyris, Federico Bianchi, Gastone Ciuti, Anastasios Koulaouzidis
2019 C conf
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation.
ICMLA
Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris
2019 J jnl
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation.
CoRR
Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris
2019 — conf
Visual Dialog for Radiology: Data Curation and FirstSteps.
ViGIL@NeurIPS
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
2018 J jnl
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples.
CoRR
Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2018 B conf
Chest x-ray generation and data augmentation for cardiovascular abnormality classification.
Image Processing
Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
2018 J jnl
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs.
J. Medical Syst.
Szilárd Vajda, Alexandros Karargyris, Stefan Jäger, KC Santosh, Sema Candemir, Zhiyun Xue, Sameer K. Antani, George R. Thoma
2018 — conf
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation.
MICCAI (4)
Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth L. Clarkson, Nassir Navab
2018 — conf
Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation.
ISBI
Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
2018 — conf
Universal multi-modal deep network for classification and segmentation of medical images.
ISBI
Ahmed Harouni, Alexandros Karargyris, Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood
2017 — conf
A preliminary study for automatic accurate detection of adenomatous polyps in the small intestine.
BHI
T. Dassopoulos, Alexandros Karargyris, Sokratis Makrogiannis, Nikolaos G. Bourbakis
2017 — conf
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples.
MICCAI (3)
Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2017 B conf
Visual Localization of Wireless Capsule Endoscopes Aided by Artificial Neural Networks.
CBMS
George Dimas, Dimitrios K. Iakovidis, Gastone Ciuti, Alexandros Karargyris, Anastasios Koulaouzidis
2016 J jnl
Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays.
Int. J. Comput. Assist. Radiol. Surg.
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
2015 J jnl
Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control.
Int. J. Pattern Recognit. Artif. Intell.
KC Santosh, Sema Candemir, Stefan Jäger, Alexandros Karargyris, Sameer K. Antani, George R. Thoma, Les R. Folio
2015 J jnl
Color Space Transformation Network.
CoRR
Alexandros Karargyris
2015 J jnl
OdoCapsule: Next-Generation Wireless Capsule Endoscopy With Accurate Lesion Localization and Video Stabilization Capabilities.
IEEE Trans. Biomed. Eng.
Alexandros Karargyris, Anastastios Koulaouzidis
2014 J jnl
Automatic Tuberculosis Screening Using Chest Radiographs.
IEEE Trans. Medical Imaging
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
2014 J jnl
Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration.
IEEE Trans. Medical Imaging
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
2014 B conf
Rotation Detection in Chest Radiographs Based on Generalized Line Histogram of Rib-Orientations.
CBMS
KC Santosh, Sema Candemir, Stefan Jäger, Les R. Folio, Alexandros Karargyris, Sameer K. Antani, George R. Thoma
2012 J jnl
Automatic Detection of Similarities and Differences between Small bowel Polyps and Ulcers with a Data Mining Approach in Wireless Capsule Endoscopy Videos.
Int. J. Artif. Intell. Tools
Alexandros Karargyris, M. Pouagare, Orestis Karargyris, Nikolaos G. Bourbakis
2012 B conf
DERMA/Care: An Advanced image-Processing Mobile Application for Monitoring Skin Cancer.
ICTAI
Alexandros Karargyris, Orestis Karargyris, Alexandros Pantelopoulos
2012 — conf
Detecting tuberculosis in radiographs using combined lung masks.
EMBC
Stefan Jaeger, Alexandros Karargyris, Sameer K. Antani, George R. Thoma
2011 J jnl
Detection of Small Bowel Polyps and Ulcers in Wireless Capsule Endoscopy Videos.
IEEE Trans. Biomed. Eng.
Alexandros Karargyris, Nikolaos G. Bourbakis
2011 — conf
Segmenting anatomy in chest x-rays for tuberculosis screening.
EMBC
Alexandros Karargyris, Sameer K. Antani, George R. Thoma
2011 J jnl
Three-Dimensional Reconstruction of the Digestive Wall in Capsule Endoscopy Videos Using Elastic Video Interpolation.
IEEE Trans. Medical Imaging
Alexandros Karargyris, Nikolaos G. Bourbakis
2010 C conf
3D Representation of the Digestive Tract Surface in Wireless Capsule Endoscopy Videos.
BIBE
Alexandros Karargyris, Orestis Karargyris, Nikolaos G. Bourbakis
2010 C conf
An Elastic Video Interpolation Methodology for Wireless Capsule Endoscopy Videos.
BIBE
Alexandros Karargyris, Nikolaos G. Bourbakis
2009 — conf
Identification of Ulcers in Wireless Capsule Endoscopy Videos.
ISBI
Alexandros Karargyris, Nikolaos G. Bourbakis
2008 C conf
A methodology for detecting blood-based abnormalities in Wireless Capsule Endoscopy videos.
BIBE
Alexandros Karargyris, Nikolaos G. Bourbakis