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09/17/2022
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks
Lung cancer is the leading cause of cancer related mortality by a signif...
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11/02/2021
Out of distribution detection for skin and malaria images
Deep neural networks have shown promising results in disease detection a...
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04/10/2021
Estimation of BMI from Facial Images using Semantic Segmentation based Region-Aware Pooling
Body-Mass-Index (BMI) conveys important information about one's life suc...
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11/19/2019
Deep Detector Health Management under Adversarial Campaigns
Machine learning models are vulnerable to adversarial inputs that induce...
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10/14/2018
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation
Magnetic resonance imaging (MRI) is the non-invasive modality of choice ...
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01/10/2018
Supervised and Unsupervised Tumor Characterization in the Deep Learning Era
Computer Aided Diagnosis (CAD) tools are often needed for fast and accur...
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10/26/2017
Deep Multi-Modal Classification of Intraductal Papillary Mucinous Neoplasms (IPMN) with Canonical Correlation Analysis
Pancreatic cancer has the poorest prognosis among all cancer types. Intr...
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10/26/2017
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis
Discriminating lung nodules as malignant or benign is still an underlyin...
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03/02/2017
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process
Characterization of lung nodules as benign or malignant is one of the mo...
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12/15/2015
