Publication

Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

Related publications (30)

Liposome nano-formulation with cationic polar lipid DOTAP and cholesterol as a suitable pH-responsive carrier for molecular therapeutic drug (all-trans retinoic acid) delivery to lung cancer cells

The molecular targeted drug ATRA demands a suitable carrier that delivers to the cancer site due to its poor bioavailability and drug resistance. ATRA, being a lipid with carboxylic acid, has been nano-formulated as a cationic lipo-ATRA with DOTAP:choleste ...

WILEY2021

Human mortality at extreme age

Anthony Christopher Davison, Léo Raymond-Belzile

We use a combination of extreme value statistics, survival analysis and computer-intensive methods to analyse the mortality of Italian and French semi-supercentenarians. After accounting for the effects of the sampling frame, extreme-value modelling leads ...

ROYAL SOC2021

Disparity Between Batches as a Signal for Early Stopping

Patrick Thiran, Mahsa Forouzesh

We propose a metric for evaluating the generalization ability of deep neural networks trained with mini-batch gradient descent. Our metric, called gradient disparity, is the l2 norm distance between the gradient vectors of two mini-batches drawn from the t ...

Springer2021

Metabolic plasticity and glucose transporter redundancy dictate lung adenocarcinoma growth

Caroline Anne-Lyse Contat

Lung cancers represent the leading cause of cancer-related deaths worldwide. These pulmonary cancers count several histological subgroups, whose non-small cell lung cancers, subject of our study. We were precisely interested in the most common subtype of n ...

EPFL2020

A meta-learning approach for genomic survival analysis

Arnout Jan J Devos

RNA sequencing has emerged as a promising approach in cancer prognosis as sequencing data becomes more easily and affordably accessible. However, it remains challenging to build good predictive models especially when the sample size is limited and the numb ...

Nature Research2020

Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances

Daniel Thalmann, Xingyu Xu

In this work, we resolve a big challenge that most current image quality metrics (IQMs) are unavailable across different image contents, especially simultaneously coping with natural scene (NS) images or screen content (SC) images. By comparison with exist ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Combined deletion of Glut1 and Glut3 impairs lung adenocarcinoma growth

Bernard Lanz, Graham Knott, Rolf Gruetter, Nadine Fournier, Caroline Anne-Lyse Contat, Mario Gaetano Lepore, Etienne Meylan, Anders Meibom, Stéphane Laurent Escrig, Justine Pascual, Louise Helene Soegaard Jensen, Anouk Rossier, Pierre-Benoit Bernard Ancey, Silvia Sabatino, Inti Zlobec

Glucose utilization increases in tumors, a metabolic process that is observed clinically by F-18-fluorodeoxyglucose positron emission tomography (F-18-FDG-PET). However, is increased glucose uptake important for tumor cells, and which transporters are impl ...

2020

A Review: Electrochemical Biosensors for Oral Cancer

Hubert Girault, Tzu-En Lin, Ligang Wang, Sorour Darvishi

Oral cancer poses a serious threat worldwide owing to its soaring case-fatality rate and its metastatic characteristics of spreading to the other parts of the body. Despite the recent breakthroughs in biomedical sciences, the detection of oral cancer at an ...

2020

Bioengineering Methods to Improve in vitro Adoptive Cell Therapy based on Tumor-Infiltrating Lymphocytes

François Réal Rivest

Cancer is one of the biggest medical challenges of our times, with a devastating impact across all social categories. Accordingly, considerable efforts are geared towards improving the standard of care. Among them, immunotherapy, which relies on the immune ...

EPFL2020

NovelT2Mapping for Evaluating Cervical Cancer Features by Providing QuantitativeT2Maps and Synthetic Morphologic Images: A Preliminary Study

Tobias Kober, Tom Hilbert, Yong Zhang, Meng Yang, Jie Liu

Background The application value of T(2)mapping in evaluating cervical cancer (CC) features remains unclear. Purpose To investigate the role of T(2)values in evaluating CC classification, grade, and lymphovascular space invasion (LVSI) in comparison to app ...

WILEY2020