Eyal Klang - RankMe

42 papers Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A scalable framework for benchmark embedding models in semantic health-care tasks. J. Am. Medical Informatics Assoc. Shelly Soffer, Mahmud Omar, Moran Gendler, Benjamin S. Glicksberg, Patricia H. Kovatch, Orly Efros, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	EVLF-FM: Explainable Vision Language Foundation Model for Medicine. CoRR Yang Bai, Haoran Cheng, Yang Zhou, Jun Zhou, Arun Thirunavukarasu, Yuhe Ke, Jie Yao, Kanae Fukutsu, Chrystie Wan Ning Quek, Ashley Hong, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Hiok Hong Chan, Victor Koh, Marcus Tan, Kelvin Z. Li, Leonard Yip, Ching Yu Cheng, Yih Chung Tham, Gavin Siew Wei Tan, Leopold Schmetterer, Marcus Ang, Rahat Hussain, Jod Mehta, Tin Aung, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Soon Thye Lim, Eyal Klang, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting
2025	J	`jnl`	Generating credible referenced medical research: A comparative study of openAI's GPT-4 and Google's gemini. Comput. Biol. Medicine Mahmud Omar, Saleh Nassar, Kareem Hijazi, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Large language models in real-world clinical workflows: a systematic review of applications and implementation. Frontiers Digit. Health Yaara Artsi, Vera Sorin, Benjamin S. Glicksberg, Panagiotis Korfiatis, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP. CoRR 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
2025	J	`jnl`	Pitfalls of large language models in medical ethics reasoning. npj Digit. Medicine Shelly Soffer, Vera Sorin, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Reasoning red teaming in healthcare not all paths to a desired outcome are desirable. npj Digit. Medicine Vera Sorin, Panagiotis Korfiatis, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Refining LLMs outputs with iterative consensus ensemble (ICE). Comput. Biol. Medicine Mahmud Omar, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	Socio-Demographic Modifiers Shape Large Language Models' Ethical Decisions. J. Heal. Informatics Res. Vera Sorin, Panagiotis Korfiatis, Jeremy D. Collins, Donald Apakama, Mahmud Omar, Benjamin S. Glicksberg, Mei-Ean Yeow, Megan Brandeland, Girish N. Nadkarni, Eyal Klang
2025	J	`jnl`	X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification. npj Digit. Medicine Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan
2024	J	`jnl`	A strategy for cost-effective large language model use at health system-scale. npj Digit. Medicine 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
2024	J	`jnl`	Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services. CoRR Dhavalkumar Patel, Ganesh Raut, Satya Narayan Cheetirala, Girish N. Nadkarni, Robert Freeman, Benjamin S. Glicksberg, Eyal Klang, Prem Timsina
2024	J	`jnl`	Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. J. Am. Medical Informatics Assoc. 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
2024	J	`jnl`	X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning. CoRR Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan
2022	—	`conf`	Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng
2022	—	`conf`	Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients. ISBI Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
2022	J	`jnl`	Weakly supervised attention model for RV strain classification from volumetric CTPA scans. Comput. Methods Programs Biomed. Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
2021	J	`jnl`	A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality. Big Data Cogn. Comput. Eyal Klang, Matthew A. Levin, Shelly Soffer, Alexis Zebrowski, Benjamin S. Glicksberg, Brendan G. Carr, Jolion Mcgreevy, David L. Reich, Robert Freeman
2021	—	`conf`	RV strain classification from 3D CTPA scans using weakly supervised residual attention model. Computer-Aided Diagnosis Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
2021	J	`jnl`	Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans. CoRR Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
2019	J	`jnl`	Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection. Eng. Appl. Artif. Intell. Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan
2019	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). CoRR Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze
2018	J	`jnl`	Anatomical Data Augmentation For CNN based Pixel-wise Classification. CoRR Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan
2018	—	`conf`	Anatomical data augmentation for CNN based pixel-wise classification. ISBI Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan
2018	—	`conf`	Automatic liver volume segmentation and fibrosis classification. Computer-Aided Diagnosis Evgeny Bal, Eyal Klang, Michal Amitai, Hayit Greenspan
2018	J	`jnl`	Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection. CoRR Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan
2018	J	`jnl`	Fully automatic detection of renal cysts in abdominal CT scans. Int. J. Comput. Assist. Radiol. Surg. Neta Blau, Eyal Klang, Nahum Kiryati, Michal Marianne Amitai, Orith Portnoy, Arnaldo Mayer
2018	J	`jnl`	Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations. Neurocomputing Avi Ben-Cohen, Eyal Klang, Ariel Kerpel, Eli Konen, Michal Amitai, Hayit Greenspan
2018	J	`jnl`	GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification. CoRR Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018	J	`jnl`	GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. Neurocomputing Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018	J	`jnl`	Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification. CoRR Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018	—	`conf`	Synthetic data augmentation using GAN for improved liver lesion classification. ISBI Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2017	—	`conf`	Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN. Patch-MI@MICCAI Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2017	J	`jnl`	Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN. CoRR Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2017	J	`jnl`	Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification. IEEE Trans. Biomed. Eng. Idit Diamant, Eyal Klang, Michal Amitai, Eli Konen, Jacob Goldberger, Hayit Greenspan
2017	—	`conf`	Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. SASHIMI@MICCAI Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan
2017	J	`jnl`	Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. CoRR Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan
2016	—	`conf`	Fully Convolutional Network for Liver Segmentation and Lesions Detection. LABELS/DLMIA@MICCAI Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan
2016	J	`jnl`	Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions. IEEE J. Biomed. Health Informatics Idit Diamant, Assaf Hoogi, Christopher F. Beaulieu, Mustafa Safdari, Eyal Klang, Michal Amitai, Hayit Greenspan, Daniel L. Rubin
2016	—	`conf`	Sparsity-based liver metastases detection using learned dictionaries. ISBI Avi Ben-Cohen, Eyal Klang, Michal Amitai, Hayit Greenspan
2015	—	`conf`	Multi-phase liver lesions classification using relevant visual words based on mutual information. ISBI Idit Diamant, Jacob Goldberger, Eyal Klang, Michal Amitai, Hayit Greenspan
2014	—	`conf`	Automatic detection and segmentation of liver metastatic lesions on serial CT examinations. Computer-Aided Diagnosis Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan