activity
20162021
most citedExtraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning

70 citations · 77 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2021

U-LanD: Uncertainty-Driven Video Landmark Detection

Mohammad H. Jafari, Christina Luong, Michael Tsang +5

This paper presents U-LanD, a framework for joint detection of key frames and landmarks in videos. We tackle a specifically challenging problem, where training labels are noisy and…

eess.IV2019★ 3 cited

A Study into Echocardiography View Conversion

Amir H. Abdi, Mohammad H. Jafari, Sidney Fels +2

Transthoracic echo is one of the most common means of cardiac studies in the clinical routines. During the echo exam, the sonographer captures a set of standard cross sections (ech…

cs.CV2017

Dense Pooling layers in Fully Convolutional Network for Skin Lesion Segmentation

Ebrahim Nasr-Esfahani, Shima Rafiei, Mohammad H. Jafari +5

One of the essential tasks in medical image analysis is segmentation and accurate detection of borders. Lesion segmentation in skin images is an essential step in the computerized…

cs.CV2016★ 4 cited

Hand Gesture Recognition for Contactless Device Control in Operating Rooms

Ebrahim Nasr-Esfahani, Nader Karimi, S. M. Reza Soroushmehr +4

Hand gesture is one of the most important means of touchless communication between human and machines. There is a great interest for commanding electronic equipment in surgery room…

cs.CV2016★ 70 cited

Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning

Mohammad H. Jafari, Ebrahim Nasr-Esfahani, Nader Karimi +3

Melanoma is amongst most aggressive types of cancer. However, it is highly curable if detected in its early stages. Prescreening of suspicious moles and lesions for malignancy is o…