Nima Tajbakhsh

Publications by Year

Research Areas

AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI, Advanced Neural Network Applications, Colorectal Cancer Screening and Detection

Most-Cited Works

• → UNet++: A Nested U-Net Architecture for Medical Image Segmentation(2018)8,567 cited
• → UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation(2019)3,910 cited
• → Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?(2016)3,083 cited
• → Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information(2015)1,056 cited
• → Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation(2020)953 cited
• → Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis(2019)316 cited
• → Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs(2016)171 cited
• → Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks(2015)156 cited