output
20202025
most citedThe Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

151 citations

17 papers

cs.HC2025

Utsarjan: A smartphone App for providing kidney care and real-time assistance to children with nephrotic syndrome

Snigdha Tiwari, Sahil Sharma, Arvind Bagga +2

Background Telemedicine has the potential to provide secure and cost-effective healthcare at the touch of a button. Nephrotic syndrome is a chronic childhood illness involving freq…

cs.LG2025★ 23 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1144

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…

eess.SP2024

EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface

Pradyot Anand, Anant Jain, Suriya Prakash Muthukrishnan +3

Electroencephalography (EEG)--based turn intention prediction for lower limb movement is important to build an efficient brain-computer interface (BCI) system. This study investiga…

cs.RO2024

UltraGelBot: Autonomous Gel Dispenser for Robotic Ultrasound

Deepak Raina, Ziming Zhao, Richard Voyles +3

Telerobotic and Autonomous Robotic Ultrasound Systems (RUS) help alleviate the need for operator-dependability in free-hand ultrasound examinations. However, the state-of-the-art R…

cs.RO2023★ 12 cited

Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization

Deepak Raina, SH Chandrashekhara, Richard Voyles +2

Ultrasound is a commonly used medical imaging modality that requires expert sonographers to manually maneuver the ultrasound probe based on the acquired image. Autonomous Robotic U…

cs.RO2023★ 9 cited

RUSOpt: Robotic UltraSound Probe Normalization with Bayesian Optimization for In-plane and Out-plane Scanning

Deepak Raina, Abhishek Mathur, Richard M. Voyles +3

The one of the significant challenges faced by autonomous robotic ultrasound systems is acquiring high-quality images across different patients. The proper orientation of the robot…