Sara Moccia
Identifiers
- name variant Sara Moccia 0.60 · backfill
Papers (17)
- Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis cs.SE · 2025 · author #7
- A Federated Learning Framework for Stenosis Detection eess.IV · 2023 · author #9
- A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis cs.AI · 2023 · author #7
- Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation cs.CV · 2023 · author #3
- Learning-Based Keypoint Registration for Fetoscopic Mosaicking eess.IV · 2022 · author #9
- Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing cs.RO · 2022 · author #3
- Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings eess.IV · 2022 · author #30
- A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis eess.IV · 2022 · author #5
- Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks cs.CV · 2021 · author #2
- How can we learn (more) from challenges? A statistical approach to driving future algorithm development cs.CV · 2021 · author #11
- FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset cs.CV · 2021 · author #4
- A transfer-learning approach for lesion detection in endoscopic images from the urinary tract eess.IV · 2021 · author #2
- Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy eess.IV · 2021 · author #3
- A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture eess.IV · 2021 · author #3
- Comparison of different CNNs for breast tumor classification from ultrasound images eess.IV · 2020 · author #2
- Preterm infants' pose estimation with spatio-temporal features cs.CV · 2020 · author #1
- Preterm infants' limb-pose estimation from depth images using convolutional neural networks cs.CV · 2019 · author #1
Mentions
- 2504.20126 #7 · arxiv_oai · confidence 0.70 Sara Moccia
- 2310.19445 #9 · arxiv_oai · confidence 0.70 Sara Moccia
- 2309.09038 #7 · arxiv_oai · confidence 0.70 Sara Moccia
- 2301.05575 #3 · arxiv_oai · confidence 0.70 Sara Moccia
- 2206.12512 #30 · arxiv_oai · confidence 0.70 Sara Moccia
- 2201.12260 #5 · arxiv_oai · confidence 0.70 Sara Moccia
- 2207.13185 #9 · arxiv_oai · confidence 0.70 Sara Moccia
- 2207.00401 #3 · arxiv_oai · confidence 0.70 Sara Moccia
- 2106.14739 #2 · arxiv_oai · confidence 0.70 Sara Moccia
- 2106.09302 #11 · arxiv_oai · confidence 0.70 Sara Moccia
- 2106.05923 #4 · arxiv_oai · confidence 0.70 Sara Moccia
- 2104.03927 #2 · arxiv_oai · confidence 0.70 Sara Moccia
- 2104.01985 #3 · arxiv_oai · confidence 0.70 Sara Moccia
- 2101.05021 #3 · arxiv_oai · confidence 0.70 Sara Moccia
- 2012.14517 #2 · arxiv_oai · confidence 0.70 Sara Moccia
- 2005.08648 #1 · arxiv_oai · confidence 0.70 Sara Moccia
- 1907.12949 #1 · arxiv_oai · confidence 0.70 Sara Moccia
Frequent Coauthors
- Elena De Momi 8 shared papers
- Emanuele Frontoni 8 shared papers
- Jorge F. Lazo 5 shared papers
- Lucia Migliorelli 5 shared papers
- Benoit Rosa 4 shared papers
- Michel de Mathelin 4 shared papers
- Michele Catellani 4 shared papers
- Aldo Marzullo 3 shared papers
- Alessandro Casella 3 shared papers
- Danail Stoyanov 3 shared papers
- Dario Paladini 3 shared papers
- Francisco Vasconcelos 3 shared papers
- Jan Deprest 3 shared papers
- Sophia Bano 3 shared papers
- Anna L. David 2 shared papers
- Cristina P. Santos 2 shared papers
- Daniele Berardini 2 shared papers
- George Attilakos 2 shared papers
- Leonardo S. Mattos 2 shared papers
- Mariachiara Di Cosmo 2 shared papers