151 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Indian Institute of Technology DelhiIN12 papers
- Indraprastha Institute of Information Technology DelhiIN4 papers
- California Institute of TechnologyUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- DR. B.R.A. Institute Rotary Cancer HospitalIN2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Forschungszentrum JülichDE2 papers
- Google (United States)US2 papers
- Korea Advanced Institute of Science and TechnologyKR2 papers
- New York UniversityUS2 papers
- Purdue University West LafayetteUS2 papers
- Sapienza University of RomeIT2 papers
20 papers
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…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
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…
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…
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…
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…
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…
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation
Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan +2
Histopathological image segmentation is a laborious and time-intensive task, often requiring analysis from experienced pathologists for accurate examinations. To reduce this burden…
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
Jun Ma, Ronald Xie, Shamini Ayyadhury +37
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or req…
Expert-Agnostic Ultrasound Image Quality Assessment using Deep Variational Clustering
Deepak Raina, Dimitrios Ntentia, SH Chandrashekhara +2
Ultrasound imaging is a commonly used modality for several diagnostic and therapeutic procedures. However, the diagnosis by ultrasound relies heavily on the quality of images asses…
Robotic Sonographer: Autonomous Robotic Ultrasound using Domain Expertise in Bayesian Optimization
Deepak Raina, SH Chandrashekhara, Richard Voyles +2
Ultrasound is a vital imaging modality utilized for a variety of diagnostic and interventional procedures. However, an expert sonographer is required to make accurate maneuvers of…
Quantitative analysis of collagen remodeling in pancreatic lesions using computationally translated collagen images derived from brightfield microscopy images
Varun Nair, Gavish Uppal, Saurav Bharadwaj +4
The changes in stromal collagen play a crucial role during the pathogenesis and progression of pancreatic intraepithelial neoplasm (PanIN) to pancreatic ductal adenocarcinoma (PDAC…
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation
Deepak Raina, Kashish Verma, SH Chandrashekhara +1
We investigate the applicability of U-Net based models for segmenting Urinary Bladder (UB) in male pelvic view UltraSound (US) images. The segmentation of UB in the US image aids r…
BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation
Manali Saini, Anant Jain, Lalan Kumar +3
Kinematic parameter (KP) estimation from early electroencephalogram (EEG) signals is essential for positive augmentation using wearable robot. However, work related to early estima…
IterMiUnet: A lightweight architecture for automatic blood vessel segmentation
Ashish Kumar, R. K. Agrawal, Leve Joseph
The automatic segmentation of blood vessels in fundus images can help analyze the condition of retinal vasculature, which is crucial for identifying various systemic diseases like…
Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort
Yukti Makhija, Samarth Bhatia, Shalendra Singh +9
Many countries are now experiencing the third wave of the COVID-19 pandemic straining the healthcare resources with an acute shortage of hospital beds and ventilators for the criti…
Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training
Vinkle Srivastav, Britty Baby, Ramandeep Singh +2
Neuro-endoscopy is a challenging minimally invasive neurosurgery that requires surgical skills to be acquired using training methods different from the existing apprenticeship mode…
SDCT-AuxNet: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis
Shiv Gehlot, Anubha Gupta, Ritu Gupta
Acute lymphoblastic leukemia (ALL) is a pervasive pediatric white blood cell cancer across the globe. With the popularity of convolutional neural networks (CNNs), computer-aided di…
LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer
Simmi Mourya, Sonaal Kant, Pulkit Kumar +2
Acute lymphoblastic leukemia (ALL) constitutes approximately 25% of the pediatric cancers. In general, the task of identifying immature leukemic blasts from normal cells under the…
Fair Clustering Through Fairlets
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi +1
We study the question of fair clustering under the {\em disparate impact} doctrine, where each protected class must have approximately equal representation in every cluster. We for…
Risk Factors Associated with Mortality in Game of Thrones: A Longitudinal Cohort Study
Suveen Angraal, Ambika Bhatnagar, Suraj Verma +3
Objective: To assess mortality, and identify the risk factors associated with mortality in Game of Thrones (GoT). Design and Setting: A longitudinal cohort study in the fictional k…