Marcelo A. C. Vieira
Papers
2
Total Citations
121
H-Index
2
About
Marcelo A. C. Vieira is a researcher whose work spans the intersection of gynecologic oncology and computational neural networks, demonstrating a uniquely interdisciplinary career. His most impactful contribution lies in the surgical management of early-stage cervical cancer, where his 2015 study comparing radical trachelectomy via laparotomy versus minimally invasive surgery has garnered 109 citations, shaping clinical decision-making for fertility-preserving treatments. This work highlights his commitment to advancing surgical techniques that balance oncologic safety with quality of life. In a striking departure, Vieira also made early contributions to artificial intelligence with his 2002 paper on associative memory for trajectory generation and inverse kinematics. By proposing a system of two neural network blocks—including the temporal multidirectional associative memory (TMAM)—he addressed fundamental robotics challenges, earning 12 citations and showcasing his versatility. This dual expertise in medicine and computational modeling underscores his ability to bridge disparate fields. Vieira’s career exemplifies how cross-disciplinary thinking can yield innovations in both patient care and machine learning, making him a notable figure for students exploring the convergence of technology and healthcare.
Research Focus
Key Achievements
Top Papers
- 1
- 2