StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones. - Rui Wang 016; Fanglin Chen; Zhenyu Chen 003; Tianxing Li 001; Gabriella M. Harari; Stefanie Tignor; Xia Zhou; Dror Ben-Zeev; Andrew T. Campbell (UbiComp, 2014)

CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia. - Rui Wang 016; Min S. H. Aung; Saeed Abdullah; Rachel Brian; Andrew T. Campbell; Tanzeem Choudhury; Marta Hauser; John Kane 001; Michael Merrill; Emily A. Scherer; Vincent W. S. Tseng; Dror Ben-Zeev (UbiComp, 2016)

StudentLife: Using Smartphones to Assess Mental Health and Academic Performance of College Students. - Rui Wang 016; Fanglin Chen; Zhenyu Chen 003; Tianxing Li 001; Gabriella M. Harari; Stefanie Tignor; Xia Zhou; Dror Ben-Zeev; Andrew T. Campbell (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing. - Rui Wang 016; Weichen Wang 001; Min S. H. Aung; Dror Ben-Zeev; Rachel Brian; Andrew T. Campbell; Tanzeem Choudhury; Marta Hauser; John Kane 001; Emily A. Scherer; Megan Walsh (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

The Centroid Cannot Hold: Comparing Sequential and Global Estimates of Coherence as Indicators of Formal Thought Disorder. - Weizhe Xu; Jake Portanova; Ayesha Chander; Dror Ben-Zeev; Trevor A. Cohen (AMIA, 2020)

Social Sensing: Assessing Social Functioning of Patients Living with Schizophrenia using Mobile Phone Sensing. - Weichen Wang 001; Shayan Mirjafari; Gabriella M. Harari; Dror Ben-Zeev; Rachel Brian; Tanzeem Choudhury; Marta Hauser; John Kane 001; Kizito Masaba; Subigya Nepal; Akane Sano; Emily A. Scherer; et al. (CHI, 2020)

Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes. - Bishal Lamichhane; Dror Ben-Zeev; Andrew Campbell 001; Tanzeem Choudhury; Marta Hauser; John Kane 001; Mikio Obuchi; Emily A. Scherer; Megan Walsh; Rui Wang 016; Weichen Wang 001; Akane Sano (MobiHealth, 2020)

On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial. - Rui Wang 016; Weichen Wang 001; Mikio Obuchi; Emily A. Scherer; Rachel Brian; Dror Ben-Zeev; Tanzeem Choudhury; John Kane 001; Marta Hauser; Megan Walsh; Andrew Campbell 001 (PerCom, 2020)

Co-Designing M-Healer: Supporting Lay Practitioner Mental Health Workers in Ghana. - Liam Albright; Hoa Le; Suzanne Meller; Angela Ofori Atta; Dzifa A. Attah; Seth M. Asafo; Pamela Y. Collins; Dror Ben-Zeev; Jaime Snyder (HCI (45), 2021)

Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients. - Joanne Zhou; Bishal Lamichhane; Dror Ben-Zeev; Andrew Campbell 001; Akane Sano (CoRR, 2021)

Patient-independent Schizophrenia Relapse Prediction Using Mobile Sensor based Daily Behavioral Rhythm Changes. - Bishal Lamichhane; Dror Ben-Zeev; Andrew Campbell 001; Tanzeem Choudhury; Marta Hauser; John Kane 001; Mikio Obuchi; Emily Scherer; Megan Walsh; Rui Wang 016; Weichen Wang 001; Akane Sano (CoRR, 2021)

Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS). - Weizhe Xu; Weichen Wang 001; Jake Portanova; Ayesha Chander; Andrew Campbell 001; Serguei Pakhomov; Dror Ben-Zeev; Trevor Cohen (J. Biomed. Informatics, 2022)

The Power of Speech in the Wild: Discriminative Power of Daily Voice Diaries in Understanding Auditory Verbal Hallucinations Using Deep Learning. - Weichen Wang 001; Weizhe Xu; Ayesha Chander; Subigya Nepal; Benjamin Buck; Serguei Pakhomov; Trevor Cohen; Dror Ben-Zeev; Andrew Campbell 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones. - Arvind Pillai; Subigya Kumar Nepal; Weichen Wang 001; Matthew Nemesure; Michael V. Heinz; George D. Price; Damien Lekkas; Amanda C. Collins; Tess Griffin; Benjamin Buck; Sarah Masud Preum; Trevor Cohen; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study. - Yasmin Ali; Stefan Rennick-Egglestone; Joy Llewellyn-Beardsley; Fiona Ng; Caroline Yeo; Donna Franklin; Elvira Perez Vallejos; Dror Ben-Zeev; Yasuhiro Kotera; Mike Slade (Frontiers Digit. Health, 2024)

Tailoring task arithmetic to address bias in models trained on multi-institutional datasets. - Xiruo Ding; Zhecheng Sheng; Brian Hur; Justin Tauscher; Dror Ben-Zeev; Meliha Yetisgen; Serguei Pakhomov; Trevor Cohen (J. Biomed. Informatics, 2025)

Perplexity and proximity: Large language model perplexity complements semantic distance metrics for the detection of incoherent speech. - Weizhe Xu; Serguei Pakhomov; Patrick Heagerty; Eric Horvitz; Ellen Bradley; Joshua Woolley; Andrew T. Campbell; Alex S. Cohen; Dror Ben-Zeev; Trevor Cohen (J. Biomed. Informatics, 2025)

Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought Disorder. - Changye Li 001; Weizhe Xu; Serguei Pakhomov; Ellen Bradley; Dror Ben-Zeev; Trevor Cohen (CoRR, 2025)

Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models. - Feng Chen; Dror Ben-Zeev; Gillian Sparks; Arya Kadakia; Trevor Cohen (CoRR, 2025)

Reading Between the Lines: Combining Pause Dynamics and Semantic Coherence for Automated Assessment of Thought Disorder. - Feng Chen; Weizhe Xu; Changye Li 001; Serguei Pakhomov; Alex Cohen; Simran Bhola; Sandy Yin; Sunny X. Tang; Michael Mackinley; Lena Palaniyappan; Dror Ben-Zeev; Trevor Cohen (CoRR, 2025)