activity
20182021
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations · 1.3k across the 5 of their papers we have counts for

collaborators

6 papers

eess.IV2021★ 11 cited

Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans

Noa Cahan, Edith M. Marom, Shelly Soffer +4

Pulmonary embolus (PE) refers to obstruction of pulmonary arteries by blood clots. PE accounts for approximately 100,000 deaths per year in the United States alone. The clinical pr…

eess.IV2020

Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound

Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy +6

Mammography and ultrasound are extensively used by radiologists as complementary modalities to achieve better performance in breast cancer diagnosis. However, existing computer-aid…

cs.CV2020

Labeling of Multilingual Breast MRI Reports

Chen-Han Tsai, Nahum Kiryati, Eli Konen +2

Medical reports are an essential medium in recording a patient's condition throughout a clinical trial. They contain valuable information that can be extracted to generate a large…

eess.IV2020★ 15 cited

Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)

Chen-Han Tsai, Nahum Kiryati, Eli Konen +2

Magnetic Resonance Imaging (MRI) is a widely-accepted imaging technique for knee injury analysis. Its advantage of capturing knee structure in three dimensions makes it the ideal t…

cs.CV2019★ 1.2k cited

The Liver Tumor Segmentation Benchmark (LiTS)

Patrick Bilic, Patrick Christ, Hongwei Bran Li +106

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…

cs.CV2018★ 1 cited

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 +5

In this work we present a novel system for generation of virtual PET images using CT scans. We combine a fully convolutional network (FCN) with a conditional generative adversarial…