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20132025
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

Showing 2021Show all

10 papers · 1 filter

eess.IV2021★ 4 cited

Dynamic multi feature-class Gaussian process models

Jean-Rassaire Fouefack, Bhushan Borotikar, Marcel Lüthi +3

In model-based medical image analysis, three features of interest are the shape of structures of interest, their relative pose, and image intensity profiles representative of some…

eess.SP2021★ 48 cited

Incremental learning of LSTM framework for sensor fusion in attitude estimation

Parag Narkhede, Rahee Walambe, Shashi Poddar +1

This paper presents a novel method for attitude estimation of an object in 3D space by incremental learning of the Long-Short Term Memory (LSTM) network. Gyroscope, accelerometer,…

eess.SY2021★ 64 cited

Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation

Parag Narkhede, Shashi Poddar, Rahee Walambe +2

Attitude estimation is the process of computing the orientation angles of an object with respect to a fixed frame of reference. Gyroscope, accelerometer, and magnetometer are some…

cs.LG2021★ 215 cited

Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions

Anil Rahate, Rahee Walambe, Sheela Ramanna +1

Multimodal deep learning systems which employ multiple modalities like text, image, audio, video, etc., are showing better performance in comparison with individual modalities (i.e…

eess.SP2021★ 116 cited

Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion

Parag Narkhede, Rahee Walambe, Shruti Mandaokar +3

With the rapid industrialization and technological advancements, innovative engineering technologies which are cost effective, faster and easier to implement are essential. One suc…

cs.AI2021★ 64 cited

Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media

Hema Karande, Rahee Walambe, Victor Benjamin +2

The evolution of electronic media is a mixed blessing. Due to the easy access, low cost, and faster reach of the information, people search out and devour news from online social n…

q-bio.GN2021★ 47 cited

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species

Nikita Bhandari, Satyajeet Khare, Rahee Walambe +1

Gene promoters are the key DNA regulatory elements positioned around the transcription start sites and are responsible for regulating gene transcription process. Various alignment-…

eess.IV2021★ 16 cited

The Federated Tumor Segmentation (FeTS) Challenge

Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29

This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…

cs.CV2021★ 1 cited

Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets

Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons +2

Automatic segmentation of magnetic resonance (MR) images is crucial for morphological evaluation of the pediatric musculoskeletal system in clinical practice. However, the accuracy…

eess.IV2021★ 4 cited

Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization

Arnaud Boutillon, Bhushan Borotikar, Christelle Pons +2

Automatic segmentation of the musculoskeletal system in pediatric magnetic resonance (MR) images is a challenging but crucial task for morphological evaluation in clinical practice…