Towards Real-Time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery. - Beaudet, Karl-Philippe; Karargyris, Alexandros; Hadramy, Sidaty El; Cotin, Stéphane; Mazellier, Jean-Paul; Padoy, Nicolas; Verde, Juan (2024)

Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation. - Alekseenko, Julia; Karargyris, Alexandros; Padoy, Nicolas (2024)

BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions. - Bakas, Spyridon; Thakur, Siddhesh P.; Faghani, Shahriar; Moassefi, Mana; Baid, Ujjwal; Chung, Verena; Pati, Sarthak; Innani, Shubham; Baheti, Bhakti; Albrecht, Jake; Karargyris, Alexandros; Kassem, Hasan; et al. (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - LaBella, Dominic; Schumacher, Katherine; Mix, Michael; Leu, Kevin; McBurney-Lin, Shan; Nedelec, Pierre; Villanueva-Meyer, Javier E.; Shapey, Jonathan; Vercauteren, Tom; Chia, Kazumi; Al-Salihi, Omar; Leu, Justin; et al. (CoRR, 2024)

Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness. - Hamoud, Idris; Karargyris, Alexandros; Sharghi, Aidean; Mohareri, Omid; Padoy, Nicolas (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Kazerooni, Anahita Fathi; Khalili, Nastaran; Liu, Xinyang; Haldar, Debanjan; Jiang, Zhifan; Zapaishchykova, Anna; Pavaine, Julija; Shah, Lubdha M.; Jones, Blaise V.; Sheth, Nakul; Prabhu, Sanjay P.; McAllister, Aaron S.; et al. (CoRR, 2024)

Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration. - Alekseenko, Julia; Stieltjes, Bram; Bach, Michael; Boerries, Melanie; Opitz, Oliver; Karargyris, Alexandros; Padoy, Nicolas (CoRR, 2024)

Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery. - Beaudet, Karl-Philippe; Karargyris, Alexandros; Hadramy, Sidaty El; Cotin, Stéphane; Mazellier, Jean-Paul; Padoy, Nicolas; Verde, Juan (CoRR, 2024)

Dissecting self-supervised learning methods for surgical computer vision. - Ramesh, Sanat; Srivastav, Vinkle; Alapatt, Deepak; Yu, Tong; Murali, Aditya; Sestini, Luca; Nwoye, Chinedu Innocent; Hamoud, Idris; Sharma, Saurav; Fleurentin, Antoine; Exarchakis, Georgios; Karargyris, Alexandros; et al. (Medical Image Anal., 2023)

Federated benchmarking of medical artificial intelligence with MedPerf. - Karargyris, Alexandros; Umeton, Renato; Sheller, Micah J.; Aristizabal, Alejandro; George, Johnu; Wuest, Anna; Pati, Sarthak; Kassem, Hasan; Zenk, Maximilian; Baid, Ujjwal; Moorthy, Prakash Narayana; Chowdhury, Alexander; et al. (Nat. Mac. Intell., 2023)

Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases. - Kassem, Hasan; Alapatt, Deepak; Mascagni, Pietro; Karargyris, Alexandros; Padoy, Nicolas (IEEE Trans. Medical Imaging, 2023)

Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session. - Karargyris, Alexandros; Ahmed, Shuaib; Belen, Ryan Anthony J. de; Banerjee, Bonny; Ibrayev, Timur; Kashyap, Satyananda; Krupinski, Elizabeth A.; Kuang, Chenyi; Madu, Paul; Madu, Amarachi; Makowski, Silvia; Mathew, Athul; et al. (2023)

Gaze Meets Machine Learning Workshop, 16 December 2023, New Orleans, Louisiana, USA. (PMLR, 2023)

Understanding metric-related pitfalls in image analysis validation. - Reinke, Annika; Tizabi, Minu; Baumgartner, Michael; Eisenmann, Matthias; Heckmann-Nötzel, Doreen; Kavur, A. Emre; Rädsch, Tim; Sudre, Carole H.; Ación, Laura; Antonelli, Michela; Arbel, Tal; Bakas, Spyridon; et al. (CoRR, 2023)

Self-supervised learning via cluster distance prediction for operating room context awareness. - Hamoud, Idris; Karargyris, Alexandros; Sharghi, Aidean; Mohareri, Omid; Padoy, Nicolas (Int. J. Comput. Assist. Radiol. Surg., 2022)

Preface. - Lourentzou, Ismini; Wu, Joy T.; Kashyap, Satyananda; Karargyris, Alexandros; Celi, Leo Anthony; Kawas, Ban; Talathi, Sachin S. (2022)

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 (PMLR, 2022)

Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases. - Kassem, Hasan; Alapatt, Deepak; Mascagni, Pietro; Consortium, AI4SafeChole; Karargyris, Alexandros; Padoy, Nicolas (CoRR, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Maier-Hein, Lena; Reinke, Annika; Christodoulou, Evangelia; Glocker, Ben; Godau, Patrick; Isensee, Fabian; Kleesiek, Jens; Kozubek, Michal; Reyes, Mauricio; Riegler, Michael A.; Wiesenfarth, Manuel; Baumgartner, Michael; et al. (CoRR, 2022)

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. - Ramesh, Sanat; Srivastav, Vinkle; Alapatt, Deepak; Yu, Tong; Murali, Aditya; Sestini, Luca; Nwoye, Chinedu Innocent; Hamoud, Idris; Fleurentin, Antoine; Exarchakis, Georgios; Karargyris, Alexandros; Padoy, Nicolas (CoRR, 2022)

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. - Kuo, Po-Chih; Tsai, Cheng Che; López, Diego M.; Karargyris, Alexandros; Pollard, Tom J.; Johnson, Alistair E. W.; Celi, Leo Anthony (npj Digit. Medicine, 2021)

A Review of Medical Federated Learning: Applications in Oncology and Cancer Research. - Chowdhury, Alexander; Kassem, Hasan; Padoy, Nicolas; Umeton, Renato; Karargyris, Alexandros (2021)

Self-training with improved regularization for sample-efficient chest x-ray classification. - Rajan, Deepta; Thiagarajan, Jayaraman J.; Karargyris, Alexandros; Kashyap, Satyananda (2021)

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. - Karargyris, Alexandros; Umeton, Renato; Sheller, Micah J.; Aristizabal, Alejandro; George, Johnu; Bala, Srini; Beutel, Daniel J.; Bittorf, Victor; Chaudhari, Akshay; Chowdhury, Alexander; Coleman, Cody; Desinghu, Bala; et al. (CoRR, 2021)

Towards Visual Dialog for Radiology. - Kovaleva, Olga; Shivade, Chaitanya; Kashyap, Satyananda; Kanjaria, Karina; Wu, Joy T.; Ballah, Deddeh; Coy, Adam; Karargyris, Alexandros; Guo, Yufan; Beymer, David James; Rumshisky, Anna; Mukherjee, Vandana V. (2020)

Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities. - Wu, Joy T.; Gur, Yaniv; Karargyris, Alexandros; Syed, Ali Bin; Boyko, Orest B.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (2020)

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. - Kashyap, Satyananda; Karargyris, Alexandros; Wu, Joy T.; Gur, Yaniv; Sharma, Arjun; Wong, Ken C. L.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (2020)

Quality controlled segmentation to aid disease detection. - Moradi, Mehdi; Wong, Ken C. L.; Karargyris, Alexandros; Syeda-Mahmood, Tanveer F. (2020)

Chest X-Ray Report Generation Through Fine-Grained Label Learning. - Syeda-Mahmood, Tanveer F.; Wong, Ken C. L.; Gur, Yaniv; Wu, Joy T.; Jadhav, Ashutosh; Kashyap, Satyananda; Karargyris, Alexandros; Pillai, Anup; Sharma, Arjun; Syed, Ali Bin; Boyko, Orest B.; Moradi, Mehdi (2020)

Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. - Ghimire, Sandesh; Kashyap, Satyananda; Wu, Joy T.; Karargyris, Alexandros; Moradi, Mehdi (2020)

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 (Springer, 2020)

Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification. - Rajan, Deepta; Thiagarajan, Jayaraman J.; Karargyris, Alexandros; Kashyap, Satyananda (CoRR, 2020)

Chest X-ray Report Generation through Fine-Grained Label Learning. - Syeda-Mahmood, Tanveer F.; Wong, Ken C. L.; Gur, Yaniv; Wu, Joy T.; Jadhav, Ashutosh; Kashyap, Satyananda; Karargyris, Alexandros; Pillai, Anup; Sharma, Arjun; Syed, Ali Bin; Boyko, Orest B.; Moradi, Mehdi (CoRR, 2020)

Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. - Kashyap, Satyananda; Karargyris, Alexandros; Wu, Joy T.; Gur, Yaniv; Sharma, Arjun; Wong, Ken C. L.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (CoRR, 2020)

Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. - Ghimire, Sandesh; Kashyap, Satyananda; Wu, Joy T.; Karargyris, Alexandros; Moradi, Mehdi (CoRR, 2020)

Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. - Karargyris, Alexandros; Kashyap, Satyananda; Lourentzou, Ismini; Wu, Joy T.; Sharma, Arjun; Tong, Matthew; Abedin, Shafiq; Beymer, David; Mukherjee, Vandana V.; Krupinski, Elizabeth A.; Moradi, Mehdi (CoRR, 2020)

Deep Endoscopic Visual Measurements. - Iakovidis, Dimitrios K.; Dimas, George; Karargyris, Alexandros; Bianchi, Federico; Ciuti, Gastone; Koulaouzidis, Anastasios (IEEE J. Biomed. Health Informatics, 2019)

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation. - Thiagarajan, Jayaraman J.; Kashyap, Satyananda; Karargyris, Alexandros (2019)

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. - Syeda-Mahmood, Tanveer F.; Ahmad, Hassan M.; Ansari, Nadeem; Gur, Yaniv; Kashyap, Satyananda; Karargyris, Alexandros; Moradi, Mehdi; Pillai, Anup; Seshadhri, K.; Wang, Weiting; Wong, Ken C. L.; Wu, Joy T. (2019)

Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. - Karargyris, Alexandros; Wong, Ken C. L.; Wu, Joy T.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (2019)

Age prediction using a large chest x-ray dataset. - Karargyris, Alexandros; Kashyap, Satyananda; Wu, Joy T.; Sharma, Arjun; Moradi, Mehdi; Syeda-Mahmood, Tanveer Fathima (2019)

Artificial intelligence for point of care radiograph quality assessment. - Kashyap, Satyananda; Moradi, Mehdi; Karargyris, Alexandros; Wu, Joy T.; Morris, Michael; Saboury, Babak; Siegel, Eliot L.; Syeda-Mahmood, Tanveer F. (2019)

Visual Dialog for Radiology: Data Curation and FirstSteps. - Kovaleva, Olga; Shivade, Chaitanya; Kashyap, Satyananda; Kanjaria, Karina; Coy, Adam; Ballah, Deddeh; Guo, Yufan; Wu, Joy T.; Karargyris, Alexandros; Beymer, David; Rumshisky, Anna; Mukherjee, Vandana V. (2019)

Age prediction using a large chest X-ray dataset. - Karargyris, Alexandros; Kashyap, Satyananda; Wu, Joy T.; Sharma, Arjun; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (CoRR, 2019)

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. - Syeda-Mahmood, Tanveer F.; Ahmad, Hassan M.; Ansari, Nadeem; Gur, Yaniv; Kashyap, Satyananda; Karargyris, Alexandros; Moradi, Mehdi; Pillai, Anup; Sheshadri, Karthik; Wang, Weiting; Wong, Ken C. L.; Wu, Joy T. (CoRR, 2019)

Boosting the rule-out accuracy of deep disease detection using class weight modifiers. - Karargyris, Alexandros; Wong, Ken C. L.; Wu, Joy T.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (CoRR, 2019)

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation. - Thiagarajan, Jayaraman J.; Kashyap, Satyananda; Karargyris, Alexandros (CoRR, 2019)

Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. - Vajda, Szilárd; Karargyris, Alexandros; Jäger, Stefan; Santosh, KC; Candemir, Sema; Xue, Zhiyun; Antani, Sameer K.; Thoma, George R. (J. Medical Syst., 2018)

Universal multi-modal deep network for classification and segmentation of medical images. - Harouni, Ahmed; Karargyris, Alexandros; Negahdar, Mohammadreza; Beymer, David; Syeda-Mahmood, Tanveer F. (2018)

Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation. - Madani, Ali; Moradi, Mehdi; Karargyris, Alexandros; Syeda-Mahmood, Tanveer F. (2018)

Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. - Katouzian, Amin; Wang, Hongzhi; Conjeti, Sailesh; Tang, Hui; Dehghan, Ehsan; Karargyris, Alexandros; Pillai, Anup; Clarkson, Kenneth L.; Navab, Nassir (2018)

Chest x-ray generation and data augmentation for cardiovascular abnormality classification. - Madani, Ali; Moradi, Mehdi; Karargyris, Alexandros; Syeda-Mahmood, Tanveer F. (2018)

Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. - Wong, Ken C. L.; Karargyris, Alexandros; Syeda-Mahmood, Tanveer F.; Moradi, Mehdi (CoRR, 2018)

A preliminary study for automatic accurate detection of adenomatous polyps in the small intestine. - Dassopoulos, T.; Karargyris, Alexandros; Makrogiannis, Sokratis; Bourbakis, Nikolaos G. (2017)

Visual Localization of Wireless Capsule Endoscopes Aided by Artificial Neural Networks. - Dimas, George; Iakovidis, Dimitrios K.; Ciuti, Gastone; Karargyris, Alexandros; Koulaouzidis, Anastasios (2017)

Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. - Wong, Ken C. L.; Karargyris, Alexandros; Syeda-Mahmood, Tanveer F.; Moradi, Mehdi (2017)

Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. - Karargyris, Alexandros; Siegelman, Jenifer; Tzortzis, Dimitris; Jaeger, Stefan; Candemir, Sema; Xue, Zhiyun; Santosh, KC; Vajda, Szilárd; Antani, Sameer K.; Folio, Les R.; Thoma, George R. (Int. J. Comput. Assist. Radiol. Surg., 2016)

Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control. - Santosh, KC; Candemir, Sema; Jäger, Stefan; Karargyris, Alexandros; Antani, Sameer K.; Thoma, George R.; Folio, Les R. (Int. J. Pattern Recognit. Artif. Intell., 2015)

OdoCapsule: Next-Generation Wireless Capsule Endoscopy With Accurate Lesion Localization and Video Stabilization Capabilities. - Karargyris, Alexandros; Koulaouzidis, Anastastios (IEEE Trans. Biomed. Eng., 2015)

Color Space Transformation Network. - Karargyris, Alexandros (CoRR, 2015)

Automatic Tuberculosis Screening Using Chest Radiographs. - Jaeger, Stefan; Karargyris, Alexandros; Candemir, Sema; Folio, Les R.; Siegelman, Jenifer; Callaghan, Fiona M.; Xue, Zhiyun; Palaniappan, Kannappan; Singh, Rahul K.; Antani, Sameer K.; Thoma, George R.; Wang, Yi-Xiang J.; et al. (IEEE Trans. Medical Imaging, 2014)

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration. - Candemir, Sema; Jaeger, Stefan; Palaniappan, Kannappan; Musco, Jonathan P.; Singh, Rahul K.; Xue, Zhiyun; Karargyris, Alexandros; Antani, Sameer K.; Thoma, George R.; McDonald, Clement J. (IEEE Trans. Medical Imaging, 2014)

Rotation Detection in Chest Radiographs Based on Generalized Line Histogram of Rib-Orientations. - Santosh, KC; Candemir, Sema; Jäger, Stefan; Folio, Les R.; Karargyris, Alexandros; Antani, Sameer K.; Thoma, George R. (2014)

Automatic Detection of Similarities and Differences between Small bowel Polyps and Ulcers with a Data Mining Approach in Wireless Capsule Endoscopy Videos. - Karargyris, Alexandros; Pouagare, M.; Karargyris, Orestis; Bourbakis, Nikolaos G. (Int. J. Artif. Intell. Tools, 2012)

Detecting tuberculosis in radiographs using combined lung masks. - Jaeger, Stefan; Karargyris, Alexandros; Antani, Sameer K.; Thoma, George R. (2012)

DERMA/Care: An Advanced image-Processing Mobile Application for Monitoring Skin Cancer. - Karargyris, Alexandros; Karargyris, Orestis; Pantelopoulos, Alexandros (2012)

Detection of Small Bowel Polyps and Ulcers in Wireless Capsule Endoscopy Videos. - Karargyris, Alexandros; Bourbakis, Nikolaos G. (IEEE Trans. Biomed. Eng., 2011)

Three-Dimensional Reconstruction of the Digestive Wall in Capsule Endoscopy Videos Using Elastic Video Interpolation. - Karargyris, Alexandros; Bourbakis, Nikolaos G. (IEEE Trans. Medical Imaging, 2011)

Segmenting anatomy in chest x-rays for tuberculosis screening. - Karargyris, Alexandros; Antani, Sameer K.; Thoma, George R. (2011)

An Elastic Video Interpolation Methodology for Wireless Capsule Endoscopy Videos. - Karargyris, Alexandros; Bourbakis, Nikolaos G. (2010)

3D Representation of the Digestive Tract Surface in Wireless Capsule Endoscopy Videos. - Karargyris, Alexandros; Karargyris, Orestis; Bourbakis, Nikolaos G. (2010)

Identification of Ulcers in Wireless Capsule Endoscopy Videos. - Karargyris, Alexandros; Bourbakis, Nikolaos G. (2009)

A methodology for detecting blood-based abnormalities in Wireless Capsule Endoscopy videos. - Karargyris, Alexandros; Bourbakis, Nikolaos G. (2008)