Real-Time H.264 Encoding by Thread-Level Parallelism: Gains and Pitfalls. - Guy Amit; Adi Pinhas (IASTED PDCS, 2005)

Scalability of Multimedia Applications on Next-Generation Processors. - Guy Amit; Yaron Caspi; Ran Vitale; Adi Pinhas (ICME, 2006)

Acoustic Indices of Cardiac Functionality. - Guy Amit; Jonathan Lessick; Noam Gavriely; Nathan Intrator (BIOSIGNALS (2), 2008)

Cluster analysis and classification of heart sounds. - Guy Amit; Noam Gavriely; Nathan Intrator (Biomed. Signal Process. Control., 2009)

Automatic analysis of vibro-acoustic heart signals: combining signal processing and computational learning techniques for non-invasive evaluation and monitoring of cardiac function - Guy Amit (2009)

The cost-effectiveness of stress testing using high-frequency QRS analysis. - Guy Amit; Yizhar Toren; Linda R. Davrath; Eran Toledo; Shimon Abboud (Int. J. Medical Eng. Informatics, 2013)

Automatic learning-based selection of beam angles in radiation therapy of lung cancer. - Guy Amit; Thomas G. Purdie; Alex Levinshtein; Andrew Hope; Patricia Lindsay; David A. Jaffray; Vladimir Pekar (ISBI, 2014)

Atrial Electrical Activity Detection Using Linear Combination of 12-Lead ECG Signals. - Or Perlman; Amos Katz; Noam Weissman; Guy Amit; Yaniv Zigel (IEEE Trans. Biomed. Eng., 2014)

Automatic Dual-View Mass Detection in Full-Field Digital Mammograms. - Guy Amit; Sharbell Y. Hashoul; Pavel Kisilev; Boaz Ophir; Eugene Walach; Aviad Zlotnick (MICCAI (2), 2015)

Medical sieve: a cognitive assistant for radiologists and cardiologists. - Tanveer F. Syeda-Mahmood; Eugene Walach; David Beymer; Flora Gilboa-Solomon; Mehdi Moradi; Pavel Kisilev; Deepika Kakrania; Colin B. Compas; Hongzhi Wang 002; Mohammadreza Negahdar; Yu Cao; Tyler Baldwin; et al. (Computer-Aided Diagnosis, 2016)

Supraventricular Tachycardia Classification in the 12-Lead ECG Using Atrial Waves Detection and a Clinically Based Tree Scheme. - Or Perlman; Amos Katz; Guy Amit; Yaniv Zigel (IEEE J. Biomed. Health Informatics, 2016)

Classification of breast lesions using cross-modal deep learning. - Omer Hadad; Ran Bakalo; Rami Ben-Ari; Sharbell Y. Hashoul; Guy Amit (ISBI, 2017)

Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches. - Guy Amit; Rami Ben-Ari; Omer Hadad; Einat Monovich; Noa Granot; Sharbell Y. Hashoul (Computer-Aided Diagnosis, 2017)

Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning. - Guy Amit; Omer Hadad; Sharon Alpert; Tal Tlusty; Yaniv Gur; Rami Ben-Ari; Sharbell Y. Hashoul (MICCAI (3), 2017)

Unsupervised clustering of mammograms for outlier detection and breast density estimation. - Tal Tlusty; Guy Amit; Rami Ben-Ari (ICPR, 2018)

Learning from Longitudinal Mammography Studies. - Shaked Perek; Lior Ness; Mika Amit; Ella Barkan; Guy Amit (MICCAI (6), 2019)

Neural Network Representation Control: Gaussian Isolation Machines and CVC Regularization. - Guy Amit; Ishai Rosenberg; Moshe Levy; Ron Bitton; Asaf Shabtai; Yuval Elovici (CoRR, 2020)

GLOD: Gaussian Likelihood Out of Distribution Detector. - Guy Amit; Moshe Levy; Ishai Rosenberg; Asaf Shabtai; Yuval Elovici (CoRR, 2020)

Fairness Matters - A Data-Driven Framework Towards Fair and High Performing Facial Recognition Systems. - Yushi Cao; David Berend; Palina Tolmach; Moshe Levy; Guy Amit; Asaf Shabtai; Yuval Elovici; Yang Liu 003 (CoRR, 2020)

To Deep or Not to Deep: Comparison of Traditional and Deep Learning Models in Disease Prediction from Electronic Health Records. - Alon Brutzkus; Pinchas Akiva; Guy Amit (AMIA, 2021)

Efficient DLP-visor: An efficient hypervisor-based DLP. - Michael Kiperberg; Guy Amit; Amir Yeshooroon; Nezer J. Zaidenberg (CCGRID, 2021)

DLP-Visor: A Hypervisor-based Data Leakage Prevention System. - Guy Amit; Amir Yeshooroon; Michael Kiperberg; Nezer J. Zaidenberg (ICISSP, 2021)

FOOD: Fast Out-Of-Distribution Detector. - Guy Amit; Moshe Levy; Ishai Rosenberg; Asaf Shabtai; Yuval Elovici (IJCNN, 2021)

A Self-Healing Mechanism for Internet of Things Devices. - Guy Amit; Asaf Shabtai; Yuval Elovici (IEEE Secur. Priv., 2021)

Situation-Aware eXplainability for Business Processes Enabled by Complex Events. - Guy Amit; Fabiana Fournier; Lior Limonad; Inna Skarbovsky (Business Process Management Workshops, 2022)

Model-informed LIME Extension for Business Process Explainability. - Guy Amit; Fabiana Fournier; Shlomit Gur; Lior Limonad (PMAI@IJCAI, 2022)

Fair and accurate age prediction using distribution aware data curation and augmentation. - Yushi Cao; David Berend; Palina Tolmach; Guy Amit; Moshe Levy; Yang Liu 003; Asaf Shabtai; Yuval Elovici (WACV, 2022)

The Security of Deep Learning Defences for Medical Imaging. - Moshe Levy; Guy Amit; Yuval Elovici; Yisroel Mirsky (CoRR, 2022)

YolOOD: Utilizing Object Detection Concepts for Out-of-Distribution Detection. - Alon Zolfi; Guy Amit; Amit Baras; Satoru Koda; Ikuya Morikawa; Yuval Elovici; Asaf Shabtai (CoRR, 2022)

Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus. - Yimeng Liu; Guy Amit; Xiaolei Zhao; Na Wu; Daqing Li; Amir Bashan (PLoS Comput. Biol., 2023)

Membership Inference Attacks Against Time-Series Models. - Noam Koren; Abigail Goldsteen; Guy Amit; Ariel Farkash (ACML, 2024)

YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection. - Alon Zolfi; Guy Amit; Amit Baras; Satoru Koda; Ikuya Morikawa; Yuval Elovici; Asaf Shabtai (CVPR, 2024)

eXplainable Random Forest. - Shlomit Gur; Guy Amit (HAII5.0@ECAI, 2024)

The Security of Deep Learning Defenses in Medical Imaging. - Moshe Levy; Guy Amit; Yuval Elovici; Yisroel Mirsky (HealthSec@CCS, 2024)

Transpose Attack: Stealing Datasets with Bidirectional Training. - Guy Amit; Moshe Levy; Yisroel Mirsky (NDSS, 2024)

What Was Your Prompt? A Remote Keylogging Attack on AI Assistants. - Roy Weiss; Daniel Ayzenshteyn; Guy Amit; Yisroel Mirsky (USENIX Security Symposium, 2024)

SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks. - Guy Amit; Abigail Goldsteen; Ariel Farkash (CoRR, 2024)

Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes. - Fred Matanel Grabovski; Lior Yasur; Guy Amit; Yuval Elovici; Yisroel Mirsky (CoRR, 2024)

Memory Backdoor Attacks on Neural Networks. - Eden Luzon; Guy Amit; Roy Weiss; Yisroel Mirsky (CoRR, 2024)

Ranking the Transferability of Adversarial Examples. - Moshe Levy; Guy Amit; Yuval Elovici; Yisroel Mirsky (ACM Trans. Intell. Syst. Technol., 2024)

Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation. - Maya Anderson; Guy Amit; Abigail Goldsteen (ICISSP (2), 2025)

SNOMED CT entity linking challenge. - Rory Davidson; Will Hardman; Guy Amit; Yonatan Bilu; Vincenzo Della Mea; Aleksandr Galaida; Irena Girshovitz; Mikhail Kulyabin; Mihai Horia Popescu; Kevin Roitero; Gleb Sokolov; Chen Yanover (J. Am. Medical Informatics Assoc., 2025)