User profiles for Misha Sadeghi
 | Misha SadeghiFriedrich-Alexander University Erlangen-Nuremberg Verified email at fau.de Cited by 28 |
Exploring the capabilities of a language model-only approach for depression detection in text data
Depression is a prevalent and debilitating mental health condition that requires accurate
and efficient detection for timely and effective treatment. In this study, we utilized the E-DAIC (…
and efficient detection for timely and effective treatment. In this study, we utilized the E-DAIC (…
Exploring Facial Biomarkers for Depression through Temporal Analysis of Action Units
Depression is characterized by persistent sadness and loss of interest, significantly impairing
daily functioning and now a widespread mental disorder. Traditional diagnostic methods …
daily functioning and now a widespread mental disorder. Traditional diagnostic methods …
Facing depression: evaluating the efficacy of the EmpkinS-EKSpression reappraisal training augmented with facial expressions–protocol of a randomized controlled …
Dysfunctional depressogenic cognitions are considered a key factor in the etiology and
maintenance of depression. In cognitive behavioral therapy (CBT), the current gold-standard …
maintenance of depression. In cognitive behavioral therapy (CBT), the current gold-standard …
Reducing reconfiguration time in fpgas
Despite the growing popularity of field-programmable gate arrays (FPGA), this technology
still suffers from drawbacks such as larger area, higher power consumption and longer …
still suffers from drawbacks such as larger area, higher power consumption and longer …
Harnessing multimodal approaches for depression detection using large language models and facial expressions
Detecting depression is a critical component of mental health diagnosis, and accurate
assessment is essential for effective treatment. This study introduces a novel, fully automated …
assessment is essential for effective treatment. This study introduces a novel, fully automated …
Realtime Laser Beam Steering and Calibration Method for Coherent Biomedical Distance and Motion Sensing
This paper presents a depth camera based 3D position tracking and calibration method for
realtime millimeter-accuracy galvanometer laser beam steering that enables high sensitivity …
realtime millimeter-accuracy galvanometer laser beam steering that enables high sensitivity …
Efficacy of a smartphone-based reappraisal training against depressed mood and benefits of enhancing it with facial expression–a feasibility study
The Interacting Cognitive Subsystems Approach (ICS) considers closely interacting
alterations of cognition, facial expressions, and affect as underlying mechanisms for the …
alterations of cognition, facial expressions, and affect as underlying mechanisms for the …
[PDF][PDF] 2019 27th Iranian Conference on Electrical Engineering
SZTSM Dolatshahi, Z Arefinia, BCH Kaatuzian… - scholar.archive.org
… Hassan Javadzadeh 1538 -- 1542 Pooria Seyed Eftetahi - Atefeh Hajijamali Arani - Mohammad
Javad Omidi 1543 -- 1548 Fatemeh Farokhmanesh - Mohammad Taghi Sadeghi 1549 -- …
Javad Omidi 1543 -- 1548 Fatemeh Farokhmanesh - Mohammad Taghi Sadeghi 1549 -- …
LLM Questionnaire Completion for Automatic Psychiatric Assessment
G Rosenman, L Wolf, T Hendler - arXiv preprint arXiv:2406.06636, 2024 - arxiv.org
We employ a Large Language Model (LLM) to convert unstructured psychological interviews
into structured questionnaires spanning various psychiatric and personality domains. The …
into structured questionnaires spanning various psychiatric and personality domains. The …
Global distribution of idiopathic granulomatous mastitis: A scoping review: IGM global distribution
…, YS Jobaneh, M Noori, F Sadeghi… - Archives of Breast …, 2022 - archbreastcancer.com
Background: Idiopathic granulomatous mastitis (IGM) is a challenging exclusion diagnosis
for breast lesions, manifested as benign, chronic inflammation of the breast tissue. Although …
for breast lesions, manifested as benign, chronic inflammation of the breast tissue. Although …