Automatic detection and segmentation of liver metastatic lesions on serial CT examinations. - Avi Ben-Cohen; Idit Diamant; Eyal Klang; Michal Amitai; Hayit Greenspan (Computer-Aided Diagnosis, 2014)

Multi-phase liver lesions classification using relevant visual words based on mutual information. - Idit Diamant; Jacob Goldberger; Eyal Klang; Michal Amitai; Hayit Greenspan (ISBI, 2015)

Sparsity-based liver metastases detection using learned dictionaries. - Avi Ben-Cohen; Eyal Klang; Michal Amitai; Hayit Greenspan (ISBI, 2016)

Fully Convolutional Network for Liver Segmentation and Lesions Detection. - Avi Ben-Cohen; Idit Diamant; Eyal Klang; Michal Amitai; Hayit Greenspan (LABELS/DLMIA@MICCAI, 2016)

Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions. - Idit Diamant; Assaf Hoogi; Christopher F. Beaulieu; Mustafa Safdari; Eyal Klang; Michal Amitai; Hayit Greenspan; Daniel L. Rubin (IEEE J. Biomed. Health Informatics, 2016)

Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. - Avi Ben-Cohen; Eyal Klang; Stephen P. Raskin; Michal Amitai; Hayit Greenspan (SASHIMI@MICCAI, 2017)

Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN. - Maayan Frid-Adar; Idit Diamant; Eyal Klang; Michal Amitai; Jacob Goldberger; Hayit Greenspan (Patch-MI@MICCAI, 2017)

Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification. - Idit Diamant; Eyal Klang; Michal Amitai; Eli Konen; Jacob Goldberger; Hayit Greenspan (IEEE Trans. Biomed. Eng., 2017)

Anatomical data augmentation for CNN based pixel-wise classification. - Avi Ben-Cohen; Eyal Klang; Michal Marianne Amitai; Jacob Goldberger; Hayit Greenspan (ISBI, 2018)

Synthetic data augmentation using GAN for improved liver lesion classification. - Maayan Frid-Adar; Eyal Klang; Michal Amitai; Jacob Goldberger; Hayit Greenspan (ISBI, 2018)

Automatic liver volume segmentation and fibrosis classification. - Evgeny Bal; Eyal Klang; Michal Amitai; Hayit Greenspan (Computer-Aided Diagnosis, 2018)

Fully automatic detection of renal cysts in abdominal CT scans. - Neta Blau; Eyal Klang; Nahum Kiryati; Michal Marianne Amitai; Orith Portnoy; Arnaldo Mayer (Int. J. Comput. Assist. Radiol. Surg., 2018)

Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations. - Avi Ben-Cohen; Eyal Klang; Ariel Kerpel; Eli Konen; Michal Amitai; Hayit Greenspan (Neurocomputing, 2018)

GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. - Maayan Frid-Adar; Idit Diamant; Eyal Klang; Michal Amitai; Jacob Goldberger; Hayit Greenspan (Neurocomputing, 2018)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection. - Avi Ben-Cohen; Eyal Klang; Stephen P. Raskin; Shelly Soffer; Simona Ben-Haim; Eli Konen; Michal Marianne Amitai; Hayit Greenspan (Eng. Appl. Artif. Intell., 2019)

RV strain classification from 3D CTPA scans using weakly supervised residual attention model. - Noa Cahan; Edith M. Marom; Shelly Soffer; Yiftach Barash; Eli Konen; Eyal Klang; Hayit Greenspan (Computer-Aided Diagnosis, 2021)

A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality. - Eyal Klang; Matthew A. Levin; Shelly Soffer; Alexis Zebrowski; Benjamin S. Glicksberg; Brendan G. Carr; Jolion Mcgreevy; David L. Reich; Robert Freeman (Big Data Cogn. Comput., 2021)

Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans. - Noa Cahan; Edith M. Marom; Shelly Soffer; Yiftach Barash; Eli Konen; Eyal Klang; Hayit Greenspan (CoRR, 2021)

Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. - Tingyi Wanyan; Mingquan Lin; Eyal Klang; Kartikeya M. Menon; Faris F. Gulamali; Ariful Azad; Yiye Zhang; Ying Ding 001; Zhangyang Wang; Fei Wang 001; Benjamin S. Glicksberg; Yifan Peng 002 (BCB, 2022)

Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients. - Noa Cahan; Edith M. Marom; Shelly Soffer; Yiftach Barash; Eli Konen; Eyal Klang; Hayit Greenspan (ISBI, 2022)

Weakly supervised attention model for RV strain classification from volumetric CTPA scans. - Noa Cahan; Edith M. Marom; Shelly Soffer; Yiftach Barash; Eli Konen; Eyal Klang; Hayit Greenspan (Comput. Methods Programs Biomed., 2022)

X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning. - Noa Cahan; Eyal Klang; Galit Aviram; Yiftach Barash; Eli Konen; Raja Giryes; Hayit Greenspan (CoRR, 2024)

Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services. - Dhavalkumar Patel; Ganesh Raut; Satya Narayan Cheetirala; Girish N. Nadkarni; Robert Freeman; Benjamin S. Glicksberg; Eyal Klang; Prem Timsina (CoRR, 2024)

Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. - Benjamin S. Glicksberg; Prem Timsina; Dhaval Patel; Ashwin Sawant; Akhil Vaid; Ganesh Raut; Alexander W. Charney; Donald Apakama; Brendan G. Carr; Robert Freeman; Girish N. Nadkarni; Eyal Klang (J. Am. Medical Informatics Assoc., 2024)

A strategy for cost-effective large language model use at health system-scale. - Eyal Klang; Donald Apakama; Ethan E. Abbott; Akhil Vaid; Joshua Lampert; Ankit Sakhuja; Robert Freeman; Alexander W. Charney; David Reich; Monica Kraft; Girish N. Nadkarni; Benjamin S. Glicksberg (npj Digit. Medicine, 2024)

Refining LLMs outputs with iterative consensus ensemble (ICE). - Mahmud Omar; Benjamin S. Glicksberg; Girish N. Nadkarni; Eyal Klang (Comput. Biol. Medicine, 2025)

Generating credible referenced medical research: A comparative study of openAI's GPT-4 and Google's gemini. - Mahmud Omar; Saleh Nassar; Kareem Hijazi; Benjamin S. Glicksberg; Girish N. Nadkarni; Eyal Klang (Comput. Biol. Medicine, 2025)

X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification. - Noa Cahan; Eyal Klang; Galit Aviram; Yiftach Barash; Eli Konen; Raja Giryes; Hayit Greenspan (npj Digit. Medicine, 2025)

Pitfalls of large language models in medical ethics reasoning. - Shelly Soffer; Vera Sorin; Girish N. Nadkarni; Eyal Klang (npj Digit. Medicine, 2025)

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP. - Satya Narayan Cheetirala; Ganesh Raut; Dhavalkumar Patel; Fabio Sanatana; Robert Freeman; Matthew A. Levin; Girish N. Nadkarni; Omar Dawkins; Reba Miller; Randolph M. Steinhagen; Eyal Klang; Prem Timsina (CoRR, 2025)