15 citations · 15 across the 3 of their papers we have counts for
4 papers · 1 filter
MIP-Based Tumor Segmentation: A Radiologist-Inspired Approach
Romario Zarik, Nahum Kiryati, Michael Green +2
PET/CT imaging is the gold standard for tumor detection, offering high accuracy in identifying local and metastatic lesions. Radiologists often begin assessment with rotational Mul…
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…
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…
Dataset Growth in Medical Image Analysis Research
Yuval Landau, Nahum Kiryati
Medical image analysis studies usually require medical image datasets for training, testing and validation of algorithms. The need is underscored by the deep learning revolution an…