Results 71 to 80 of about 424,424 (323)

Mobile-Optimized Facial Expression Recognition Techniques

IEEE Access, 2021
This paper presents two novel facial expression recognition techniques: the real-time ensemble for facial expression recognition (REFER) and the facial expression recognition network (FERNet).
Nizar El Zarif, Leila Montazeri, Francois Leduc-Primeau, Mohamad Sawan   +3 more
doaj   +1 more source

Deep facial expression recognition: a survey [PDF]

Journal of Image and Graphics, 2020
With the transition of facial expression recognition (FER) from laboratory-controlled to challenging in-the-wild conditions and the recent success of deep learning techniques in various fields, deep neural networks have increasingly been leveraged to learn discriminative representations for automatic FER.
Shan Li, Weihong Deng
openaire   +2 more sources

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine, Ofélie Trudeau‐Ferrin, Caroline Laverdière, Patrick Hamel, Rosanne Superstein, Bénédicte Koukoui, Carole Provost, Paul C. Nathan, Vijay Ramaswamy, Furqan Shaikh, Brenda Gallie, Ashwin Mallipatna, Stephanie Kletke, Helen Dimaras, Hallie Coltin   +14 more
wiley   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

Facial expression recognition based on FECN under artificial intelligence

Discover Artificial Intelligence
Video data are especially useful for facial recognition because they capture detailed and constantly changing facial features, making it possible to improve recognition accuracy. To recognize facial expressions in video data, this study proposes a facial
Mingwan Luo
doaj   +1 more source

Artificial Neural Network Based Ensemble Approach for Multicultural Facial Expressions Analysis

IEEE Access, 2020
Facial expressions convey exhaustive information about human emotions and the most interactive way of social collaborations, despite differences in ethnicity, culture, and geography. Due to cultural differences, the variations in facial structure, facial
Ghulam Ali, Amjad Ali, Farman Ali, Umar Draz, Fiaz Majeed, Sana Yasin, Tariq Ali, Noman Haider   +7 more
doaj   +1 more source

Automatic Facial Expression Recognition in Standardized and Non-standardized Emotional Expressions

Frontiers in Psychology, 2021
Emotional facial expressions can inform researchers about an individual's emotional state. Recent technological advances open up new avenues to automatic Facial Expression Recognition (FER).
Theresa Küntzler, T. Höfling, G. Alpers   +2 more
semanticscholar   +1 more source

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul, Jatuporn Sujjitjoon, Pa‐thai Yenchitsomanus, Kridtin Jarutatsanangkoon, Ng Wei Loon, Kleebsabai Sanpakit, Jassada Buaboonnam, Chayamon Takpradit, Pornpimon Yuti, Nunghathai Sawasdee, Piriya Luangwattananun, Siripakorn Sangkitporn, Arnan Limmahachai, La‐ongsri Atchaneeyasakul   +13 more
wiley   +1 more source

Facial expression recognition from video sequences [PDF]

Proceedings. IEEE International Conference on Multimedia and Expo, 2003
Recognizing human facial expression and emotion by computer is an interesting and challenging problem. We propose a method for recognizing emotions through facial expressions displayed in video sequences. We introduce a tree-augmented naive-Bayes (TAN) classifier that learns the dependencies between facial features; we also provide an algorithm for ...
I. Cohen, Sebe, Niculae, A. Garg, M. S. Lew, T. S. Huang   +4 more
openaire   +1 more source

Damage to Association Fiber Tracts Impairs Recognition of the Facial Expression of Emotion [PDF]

, 2009
An array of cortical and subcortical structures have been implicated in the recognition of emotion from facial expressions. It remains unknown how these regions communicate as parts of a system to achieve recognition, but white matter tracts are likely ...
Adolphs, Ralph, Grabowski, Thomas, Mehta, Sonya, Philippi, Carissa L., Rudrauf, David   +4 more
core   +1 more source